Activity Report - Universität der Bundeswehr München
Transcription
Activity Report - Universität der Bundeswehr München
Institut für Informationstechnik Professur für Informationstechnische Systeme Prof. Dr.-Ing. Berthold Lankl Activity Report May 2012 - April 2014 Digital unterschrieben von Wolfgang Hanzl DN: c=DE, st=Bayern, l=Muenchen, o=Universitaet der Bundeswehr Muenchen, cn=Wolfgang Hanzl Datum: 2014.10.08 11:05:41 +02'00' Institut für Informationstechnik Professur für Informationstechnische Systeme Prof. Dr.-Ing. Berthold Lankl Activity Report May 2012 - April 2014 Publisher and Editorial Staff: Institut für Informationstechnik Prof. Dr.-Ing. Berthold Lankl Professur für Informationstechnische Systeme Universität der Bundeswehr München Werner-Heisenberg-Weg 39 85577 Neubiberg Tel.: (+49)89 6004 3630 Fax: (+49)89 6004 3641 Email: sekr.int@unibw.de Website: www.unibw.de/eit3_1 Layout: Wolfgang Hanzl Institut für Informationstechnik Werner-Heisenberg-Weg 39 85577 Neubiberg Print: CopyCenterWestend Landsberger Strasse 8 80339 München Print run: 200 1 Preface .............................................................................................. 1 2 About the Staff .................................................................................. 3 2.1 Professur für Informationstechnische Systeme ............................ 3 Scientific Staff ..................................................................................... 3 Adjunct Professors (Lehrbeauftragte) ................................................. 3 Ph.D. Candidates ............................................................................... 3 Non-Scientific Staff ............................................................................. 3 2.2 Professur für Informationsverarbeitung ......................................... 5 Scientific Staff ..................................................................................... 5 Adjunct Professors (Lehrbeauftragte) ................................................. 5 Ph.D. Candidates ............................................................................... 5 Visiting Scientists................................................................................ 5 Non-Scientific Staff ............................................................................. 5 2.3 Activities............................................................................................ 6 2.4 Awards .............................................................................................. 7 3 Teaching ............................................................................................ 9 3.1 General Remarks .............................................................................. 9 3.2 Courses ............................................................................................ 10 Professur für Informationstechnische Systeme ................................. 10 Professur für Informationsverarbeitung ............................................. 15 3.3 Ph.D. Candidates Seminar .............................................................. 20 3.4 Bachelor Theses .............................................................................. 20 3.5 Master Theses.................................................................................. 21 I 3.6 Student Research Projects (Studienarbeiten)............................... 23 3.7 Kolloquium Informationstechnik.................................................... 23 4 Dissertations .................................................................................... 25 Kittipong Piyawanno .......................................................................... 25 Fabian Hauske .................................................................................. 26 Cong Khac Dung ............................................................................... 27 Laura Premoselli................................................................................ 28 Further Ph.D. Exams ......................................................................... 29 5 Research .......................................................................................... 31 General Remarks .............................................................................. 31 Long-Haul Optical Transmission over Few-Mode Fiber..................... 32 FEC for 100Gbps Optical Communication System ............................ 33 Digital Signal Processing and Channel Coding for Optical Fiber Communications .......................................................... 34 Robust Free-Space Optical Communications .................................... 35 Next Generation Optical Access Systems (NGOA) ........................... 36 Signal Processing for Robust Communication over Very Fast Fading Channels ............................................................... 37 Modeling and Measurement of Oscillator Phase Noise and Its Impact on Communications Systems ................................................ 38 Multiple-Input Multiple-Output (MIMO) Data Transmission System ................................................................ 39 Narrow VHF Tactical Communications .............................................. 40 MIMO and Time-Frequency Packing for Satellite Communications .................................................................. 41 II Secure MIMO SATCOM Transmission .............................................. 42 Information Processing in the Human Motor System: Coordination of Cyclic and Discrete Movements ............................... 44 Improved Balance Capabilities after Intervention on the Motor-Balance-Board (MBB) ............................................................. 45 A 3-comonent model of the control error in manual tracking of continuous signals ......................................................................... 46 Adaptive Interference Cancelation in Abdominal Signals for Fetal Monitoring............................................................................ 47 Human-Machine-Interaction: The Human Operator Behavior in a Control Loop with Manual Tracking of Continuous Random Signals .......................................... 48 Motor Control in Humans: Motor Coordination in Multitasking ........... 49 6 Publications ..................................................................................... 51 6.1 Journal Papers................................................................................. 51 6.5 Conference Papers .......................................................................... 52 6.6 Presentations ................................................................................... 56 6.7 Ph.D. Theses .................................................................................... 56 6.8 Patent Applications ......................................................................... 57 7 Miscellaneous .................................................................................. 59 9th International ITG Conference on Systems, Communications and Coding - SCC2013 .......................................... 59 Mädchen machen Technik ................................................................ 61 Institute Excursions ........................................................................... 62 Christmas Parties .............................................................................. 64 III Preface Berthold Lankl Since our last research report two years have passed with a lot of projects and changes. The most severe change was the decision of my colleague Gerhard Bauch to leave our university and join the Technische Universität Hamburg-Harburg (TUHH). The whole institute regretfully noticed his decision. The process of acquiring a new person for the position of a full professor for information processing started in summer 2012. We hope, that we can fill the gap by end of this year. In the meantime we had to look for persons who took over the teaching. With the help of the retired and active colleagues Werner Wolf and Gerhard Staude, Gerhard Bauch himself and colleague Michel Ivrlač from the Technische Univerität München (TUM) it was possible to cover at least the teaching. One remarkable event in this two year period was the conference SCC2013, which took place in January 2013 at our university. Gerhard Bauch and myself had the responsibility for the local organization. A big team of our staff was engaged in various tasks in preparation and organization of this conference and in running it. Besides the technical program also social events like the visit of the famous monastery Andechs had to be prepared and conducted. The whole conference run very smoothly, which was due to the engagement of our staff, especially Michael Nebel did a great job in coordinating numerous activities in the preparation phase as well as during the conference. We continued our research activities in projects, which covered MIMO channel characterization, MIMO transmission systems with the focus on efficient detection schemes, and few mode fiber optic transmission systems with focus on MIMO detection algorithms. We were also active in the area of iterative soft demodulation and decoding for fiber optic transmission systems. Our research activity together with Coriant in fiber optic access systems ended up in a system demonstrator, for which numerous customers of Coriant showed interest. Also our activities in the area of fast fading channels for wireless systems were continued and awarded with a prize for a master thesis. Also our research activity in the area of satellite systems was awarded with a best student paper prize. In addition to these ongoing research activities we started off new research projects in the area of free space optical transmission systems together with DLR. Another project was started in the area of tactical VHF radio systems with the focus on efficient waveform design and robust receiver concepts. Together with the Technical University of Dresden and the HumboldtUniversity in Berlin we started a project funded by DFG in the area of massive MIMO systems. The main problem in acquiring new projects turned out to be the search and hiring process of new research assistants. In the field of teaching we still support additional programs such as Mathematical Engineering and Computer Aided Engineering. As in the past also some social activities have been carried out by the whole institute, such as the yearly Betriebsausflug or the Weihnachtsfeier, to which traditionally all former institute members are invited. These social activities are documented at the end of this research report. The success of our institute in research and teaching activities would not have been possible without the continuous support and help by all permanent members of the Institute of Information Technology. Therefore I would like to thank them all for their support and help. Dipl.-Ing. Karl Besthorn is running the laboratory together with Bernhard Börner, Karl-Heinz Schlücker and Johannes Schmidt. Angelika Bauer and Hannelore Heidrich as well as Dagmar Frendl are responsible for the office issues and teaching material as well as for the faculty's examination office. A big thank goes also to all past and present Ph.D. candidates for their achievements and their engagement in the various research projects. I had and have a lot of fun working together with them. A special thank to Professor Bauch for his help and engagement despite his new responsibilities at TUHH. 1 2.1 Professur für Informationstechnische Systeme Scientific Staff Prof. Dr.-Ing. Berthold Lankl Dipl.-Ing. Vito Dantona Dipl.-Ing. Christian Hofmann (until September 2013) Dipl.-Ing. Anselm Karl M.Sc. Paolo Leoni M.Sc. Adriana Lobato Dipl.-Ing. Georg Sebald (until September 2013) Dipl.-Ing. Stephan Ludwig (until August 2013) Dipl.-Ing. Michael Nebel (until June 2013) Dipl.-Ing. Daniel Schmidt (until September 2013) M.Sc. Nora Tax (until September 2013) M.Sc. Zifeng Wu Adjunct Professors (Lehrbeauftragte) Prof. Dr. phil. Harald Höge, SVOX Deutschland GmbH, Munich Prof. Dr.-Ing. Andreas Knopp Ph.D. Candidates Dipl.-Ing. Christian Hofmann Dipl.-Ing. Stephan Ludwig Dipl.-Ing. Michael Nebel Dipl.-Ing. Daniel Schmidt Dipl.-Ing. Robert Schwarz M.Sc. Nora Tax 2.1 Professur für Informationstechnische Systeme 2.2 Professur für Informationsverarbeitung 2.3 Activities 2.4 Awards Non-Scientific Staff Angelika Bauer, secretary Dipl.-Ing. (FH) Karl Besthorn, lab engineer Bernhard Börner, technician Dagmar Frendl, technician Hannelore Heidrich, secretary Karl-Heinz Schlücker, technician Johannes Schmidt 3 2.2 Professur für Informationsverarbeitung Scientific Staff Prof. Dr.-Ing. Gerhard Bauch (until September 2012) Priv.-Doz. Dr.-Ing. Gerhard Staude apl. Prof. Dr.-Ing. habil. Werner Wolf (retired) Dipl.-Ing. Thomas Delamotte Dipl.-Math. Doris Pflüger Adjunct Professors (Lehrbeauftragte) Dr.-Ing. Michael Dambier, Robert Bosch GmbH, Stuttgart Dr.-Ing. Michel T. Ivrlač, Technische Universität München, Munich Dr. rer. nat. Dietrich Manstetten, Robert Bosch GmbH, Stuttgart Ph.D. Candidates Dipl.-Ing. Hans Gerisch Dipl.-Sportwiss. Miriam Ködderitzsch-Frank M.Eng. Puian Tadayyon (since March 2013) Visiting Scientists Prof. Archil Kezeli, Institute of Cognitive Neurosciences, Agricultural University of Georgia, University Campus at Digomi, David Aghmashenebeli Alley, Georgia. Megi Sharikadze, Ph.D., Department of Behavior and Cognitive Functions, Beritashvili Institute of Physiology, Georgia. Prof. Dr. Rodica Strungaru, Ph.D., Politehnica University of Bucharest, Romania. Dragoș Țarălungă, Ph.D., Politehnica University of Bucharest, Romania. Prof. Dr.-Ing. Mihai Tarata, University of Medicine and Pharmacy of Craiova, Romania. Assoc. Prof. Mihaela Ungureanu, Ph.D., Politehnica University of Bucharest, Romania. Non-Scientific Staff Cornelia Budach, secretary (until April 2013) Dipl.-Ing. (FH) Josef Dochtermann, lab engineer Wolfgang Hanzl, technician Wolfgang Weber, technician 5 2.3 Activities Berthold Lankl Activities in Academic Boards Member of Faculty Informationstechnik. Board (Fakultätsrat) Elektrotechnik und Member of the CAE Master study program commission. Member of examination board for the programs: Bachelor of Science Electrical Engineering and Information Technology (EIT) Master of Science Electrical Engineering and Information Technology (EIT) Outside Activities Member of the technical committee Information and System Theory (Fachausschuss 5.1 Informations- und Systemtheorie) of the Information Technology Society in the Association for Electrical, Electronic and Information Technologies (ITG in VDE). General Co-Chair of the Conference on Systems, Communication and Coding (SCC), January 21-24, 2013, Munich. Technical program committee member of ITG Conference on Source and Channel Coding (SCC). Gerhard Staude Activities in Academic Boards Member of Faculty Informationstechnik. Board (Fakultätsrat) Elektrotechnik und Member of examination board for the program Master of Science in Mathematical Engineering (ME). Member of Scientific Coworkers Council (Konvent der Wissenschaftlichen Mitarbeiter). IT representative (IT-Beauftragter) of Faculty EIT Coordinator of Module Description (Modulhandbuch) for the Master of Science Mathematical Engineering (ME) program. Outside Activities Member of committee Biosignals (Fachausschuss Biosignale) of German Society of Biomedical Engineering (DGBMT in VDE). Member of committee Methodology of Patient Monitoring (Fachausschuss Methodik der Patientenüberwachung) of German Society of Biomedical Engineering (DGBMT in VDE). 6 Werner Wolf Outside Activities Member of Technical Committee Biomedical Information Engineering (Fachausschuss 9.3 Biomedizinische Informationstechnik) of Information Technology Society (ITG in VDE). Member of Technical Committee Biosignals (Fachausschuss Biosignale) of German Society of Biomedical Engineering (DGBMT in VDE). Member of Technical Committee Methodology of Patient Monitoring (Fachausschuss Methodik der Patientenüberwachung) of German Society of Biomedical Engineering (DGBMT in VDE). Member of the Program Committee of Workshop on Innovative Processing of Bioelectric and Biomagnetic Signals, Berlin, Germany, April 2012. Member of the Editorial Board of the journal Biomedizinische Technik / Biomedical Engineering. Member of the Advisory Board of Information Technology Society (ITG in VDE). Program Officer of the IEEE German Section: Joint Chapter Engineering in Medicine and Biology. 2.4 Awards Vito Dantona Best Student Paper Award of Estel Conference, Rome, Italy, October 2-5, 2012, for the paper Dantona, V.; Delamotte, T.; Bauch, G.; Lankl, B.: Impact of Nonlinear Power Amplifiers on the Performance of Precoded MIMO Satellite Systems. Christopher Lewandowsky August 2012: AFCEA-Studienpreis, endowed with 6,000 Euro, for Olt. Jan Christopher Lewandowsky for his Master Thesis: "Analyse und Erprobung mehrstufiger Modulationsverfahren bei Fast-Fading" under supervision of Stephan Ludwig and Prof. Berthold Lankl. 7 3.1 General Remarks The Institute of Information Technology contributes courses to the bachelor and master programs of the faculty of Electrical Engineering and Information Technology (EIT) as well as to the interdisciplinary bachelor and master programs Mathematical Engineering (ME) and the integrated master program Computer Aided Engineering (CAE). Furthermore, courses for the interdisciplinary program Studium Plus are offered for students of nontechnical faculties. Studium Plus is a compulsory part of the education for all students of Universität der Bundeswehr München in which they have to take classes of other faculties. The bachelor program Electrical Engineering and Information Technology is organized in the two branches Communications (EIT-KT) and Power Engineering (EIT-ES). The EIT master program offers the additional branch Security Engineering (EIT-ST). The program Mathematical Engineering (ME) is motivated by the fact that many fields of engineering require a deeper knowledge in certain areas of mathematics than is usually provided by engineering programs. Therefore, ME provides engineering education with extended mathematics. Originally established by the faculty of Electrical Engineering and Information Technology (EIT) in 2004, ME has now become an interdisciplinary program jointly offered by the faculties EIT, Aerospace Engineering (LRT), Civil Engineering and Environmental Sciences (BauV) and Computer Science (INF). In addition to the full university, a college of applied science (Fachhochschule) is integrated under the umbrella of UniBwM. The program Computer Aided Engineering (CAE) is a master program designed for students of the college of applied sciences. CAE is called an integrative master indicating that it is a joint program of the college of applied sciences departments of mechanical engineering (MB) and Electrical Engineering and Technical Informatics (ETTI) as well as their university counterparts EIT and LRT. The lab courses offered by our institute are equipped with modern measurement equipment in order to get the students familiar with real hardware and up to date measurement systems. We think that it is of importance to show the link from theory to practical applications and to demonstrate, that practical problems typically need theory from more than one discipline. In the following list of courses provided by the Institute of Information Technology, we indicate compulsory courses by P (Pflichtfach) and elective courses by WP (Wahlpflichtfach). All compulsory courses can also be chosen as elective courses in other program branches. 3.1 General Remarks 3.2 Courses 3.3 Ph.D. Candidates Seminar 3.4 Bachelor Theses 3.5 Master Theses 3.6 Student Research Projects 3.7 Kolloquium Informationstechnik 9 3.2 Courses Professur für Informationstechnische Systeme Bachelor Signale und Kommunikationssysteme (Signals and Communications Systems) Lankl with research assistants 6 ECTS P Bachelor EIT, INF, 5. Trimester Kommunikationstechnik I (Communications Engineering Part I) Lankl with research assistants 5 ECTS P Bachelor EIT-KT, 6. Trimester P Bachelor ME, 6. Trimester 10 Description and parameters of deterministic signals (Fourier transform and its properties in time and frequency domain, theorem of Parseval, convolution, applications in communication engineering) Description and parameters of stochastic signals (random variables, stochastic processes, probability density function, cumulative density function, expected values and moments, stationary and ergodic processes, Gaussian processes, Laplacian processes and other typical processes in communications engineering, autocorrelation function and its properties, correlation time, power and energy density spectrum, equivalent noise bandwidth, cross correlation function and its properties, classification of signals) Theoretical classification of systems and description of their properties Nonlinear Systems (transfer characteristics, transformation of probability density functions in systems without memory, linearization, single tone analysis) Linear time variant systems (description by a two dimensional weighting function and impulse response, ideal sampling and sampling theorem, reconstruction of the analog signal from samples) Linear time invariant systems (description by an impulse response and transfer function, step response, amplitude and phase characteristic, phase and group delay, definition of bandwidths, time responses of filters, tapped delay lines, linear distortions and their equalization, transmission of ransom signals via LZI systems, Wiener-ChintchineTheorem, system autocorrelation function and power transfer function, cross correlation between input and output signals, system properties for white Gaussian noise, correlation time and equivalent noise bandwidth, correlation filter and applications) General transmission systems (description of source signal, modulation, transmitter, channel, and receiver with signal to noise ratios, bandwidth expansion, disturbance, modulation gain) Analog modulation formats (amplitude and frequency modulation) Theoretical limits for information transmission (channel capacity, maximum modulation gain) Pulse modulation formats (real sampling and signal reconstruction, pulse amplitude modulation, time multiplex, pulse width and pulse position modulation) Pulse code modulation (principle, system bandwidth, coding and decoding methods, analysis of distortions due to limitation and quantization, compression and expansion characteristics, 13 segment transfer characteristic, influence of bit errors, PCM threshold, and modulation gain, difference pulse code modulation, delta modulation, time multiplex and ISDN) Digital transmission in baseband (description of transmitter, channel, equalizer, pulse former and detection, receive pulse, eye diagram, symbol error probability, Nyquist system, intersymbol interference, matched filter, symbol- and bit error probabilities for Nyquist systems with additive white Gaussian noise) Investigations in linear and nonlinear systems Determination of signal parameters and the transmission properties of linear time invariant systems Amplitude modulation Sampling and signal reconstruction Frequency dependence of real resistors, capacitors and inductors Compensation circuits and band filters, neutralization Transmission lines Noise and distortions in transistor circuits Grundpraktikum: Grundlagen der Kommunikations- und Hochfrequenztechnik (Lab Course in Basic Communications and High Frequency Technology) Lankl together with Lindenmeier and research assistants 2 ECTS P Bachelor EIT, 6. Trimester 11 Master Mobile digitale Funksysteme und –netze (Mobile Digital Radio Transmission Systems and Networks) Lankl 2 ECTS WP Master EIT-KT, INF, 10. Trimester Methoden der Sprach- und Bildverarbeitung (Methods for Speech and Video Signal Processing) Höge 2 ECTS WP Master EIT-KT, 10. Trimester Praktikum Nachrichtentechnische Systeme (Lab Course Communications Systems) Lankl with research assistants 5 ECTS WP Master EIT-KT, 10. Trimester 12 Basics of radio transmission and time variant channel model (fading statistics, Rayleigh, Rice, Lognormal, WSSUS model, delay spread, coherence bandwidth, Doppler spread, coherence time) Basics of digital transmission Digital modulation formats (PAM, QAM, OQAM, PSK, QPSK, OQPSK, FSK, CPFSK, MSK, CPM, GMSK, power spectral densities, bit error characteristics) Equalization of frequency selective channels Basics of coding theory (block codes, convolutional codes and Viterbi algorithm, interleaver) Generalization to an Viterbi equalizer Diversity and access schemes System planning aspects (cellular concept, interference, cell splitting) Example GSM 3G and 4G mobile radio systems Introduction to speech and video signal processing Emphasis to image and speech recognition Concepts of classical signal theory as well as concepts based on artificial intelligence Concepts for feature extraction Classification Fourier transform and filtering for one and two dimensional signals Application of the methods to practical problems Linear systems (measurement of impulse response and amplitude and phase response) Nonlinear systems (measurement of transfer characteristic and spectral behavior, determination of intermodulation parameters by the two tone method) Sampling (measurements of signals in the time domain, and the corresponding spectra) Stochastic signals (characterization of linear systems using stochastic input signals and cross correlation) Amplitude modulation (Measurement of time signals and spectra, demodulation, measurement of characteristic parameters, transmission of speech audio signal) Frequency modulation (Measurement of time signals and spectra, demodulation, measurement of characteristic parameters, transmission of speech audio signal) Pulse-Code-Modulation (measurement of quantized time signals, influence of compression, uniform and µ-law quantization and channel disturbances) Digital data transmission (carrier modulated BPSK and QPSK, bit error rate curves with and without error correction codes, carrier phase and timing phase influences) Speech signal processing (Source coding algorithms for speech signals, comparison of different algorithms) Basics of parameter estimation and synchronization in the AWGN channel Signal model and stochastic description of signals and signal parameters Classification of estimation methods and estimators: pilot-symbol based, decision directed, feedforward and feedback structures Cramer-Rao bound as a theoretic performance measure Description of the elementary synchronization tasks in transmission systems (carrier and clock, frequency and phase, channel estimation) Exemplary estimation methods for various synchronization parameters with respect to the modulation format (PSK, QAM) and analysis of their performance and effort Introduction to phase locked loops Excursion to further estimation problems: direction of arrival estimation and estimation of signal parameters with parametric (subspace) algorithms (ESPRIT, nonlinear least squares) or with nonparametric methods (periodogram, beamforming) Excursion to channel estimation in flat and frequency selective channels including maximum-likelihood-channel-estimation Simulations in MATLAB (partially provided by the students) Parameterschätzung und Synchronisation (Parameter Estimation and Synchronization) Knopp 2 ECTS WP Master EIT-KT, 10. Trimester Basics of probability theory (conditioned PDF, Bayes theorem) Signal space representation (base function description, irrelevance theorem, vector and correlation demodulator) Detection basics (Maximum-a-posteriori and maximum-likelihood detection, minimum Euclidean distance, signal constellations and efficient constellation design) Union bound as an estimation for error probability Optimal receivers with intersymbol interference (influence of colored noise, symbol- and sequence estimation) Reliability information (likelihood ratio), basics of information theory Nachrichten- und Informationstheorie (Communication and Information Theory) Lankl 3 ECTS P Master ME, 10. Trimester WP Master EIT-KT, 10. Trimester Digital signal transmission in baseband (Nyquist systems, intersymbol interference, matched filter, additive white Gaussian noise, symbol and bit error probabilities) Carrier modulated digital transmission (bandpass signals and systems in the equivalent baseband, analytic signal and Hilbert transform, linear digital modulation formats QAM, PSK, OFDM, SC-FDE, signal constellations and eye diagrams, symbol, error probabilities, guard interval and cyclic prefix for OFDM, spread spectrum, DS-CDMA) Bounds from information theory and basic coding theory (channel capacity, bandwidth efficiency, error detection and error correction, classification in block and convolutional codes, binary block codes, error correction and residual error probability, linear cyclic binary block codes, coding by polynomial division, syndrome and error detection and correction) BCH codes, coding and decoding, Galois fields Synchronization for clock, carrier and frame Kommunikationstechnik II (Communications Engineering Part II) Lankl with research assistants 5 ECTS P Master EIT-KT, 9. Trimester P Master ME, 9. Trimester WP Master EIT-ST, 9. Trimester 13 Übertragungssicherheit (Secure Transmission Systems) Lankl together with Lindenmeier 3 ECTS P Master EIT-ST, 10. Trimester P Master CAE WP Master EIT-KT, 10. Trimester 14 Improvement of transmission security on the physical level (Lindenmeier) Implications on the physical channel (noise, fading, jamming) Electromagnetic coupling, feed through and decoupling measures Shielding and filtering, noise sources and countermeasures Antenna diversity and intelligent antennas System aspects for improvement of transmission security (Lankl) System description and basic countermeasures against jamming Secure transmission channels and jamming resistant transmission methods (direct sequence spread spectrum, frequency hopping) Professur für Informationsverarbeitung Bachelor This basic course for all students of the faculty is designed to ensure a fundamental knowledge in Digital Design for the subsequent courses in the curriculum, which compensates for different school syllabuses. Topics of the course are: Propositional logic Number representation Set theory Boolean algebra Sequential circuits Combinatorical circuits Automata theory MATLAB work environment Introduction to matrix-based programming Visualization and graphics Flow control Modular programming Data types and -structs User interfaces and dialogs Digitaltechnik (Digital Technology) Bauch / Wolf with Reiners 5 ECTS P Bachelor EIT, 1.Trimester MATLAB basics Staude 2 ECTS P Bachelor ME, 2. Trimester WP Bachelor EIT, 7. Trimester This Blended Learning course as a subsidiary subject addresses Automation and Controls Concepts in production processes History of PLC in automotive manufacturing, rewiring of hard-wired control panels against reprogramming of digital computers System concept of PLC, cyclic program execution, I/O-interfaces, requirements for severe environmental conditions Standard IEC 61131, different available programming languages Safety requirements, especially for human operators Training of STEP7-programming (8 lectures) SPS - Eine Einführung in das Konzept und die Programmierung von Speicherprogrammierbaren Steuerungen (PLC - An Introduction to the concepts and the programming of Programmable Logic Controller) Wolf 2 ECTS WP Bachelor EIT Microcontrollers (MCU) as a widely used element in customer products (e.g., a high level class car is equipped with ca 300 MCUs) represent a specific class of digital automata. Since their application mostly concerns digital process control, the course includes an introduction to realtime data processing, but main issues were concepts of digital automata, their realtime behavior and their programming in Assembler. Specifically, the following topics are addressed: Introduction to basic design of digital automata MCU architecture, I/O interfaces, number crunching subunits, maintenance support elements, industrial buses (IIC, CAN) programming in assembler Realtime control concepts (interrupt) A PC-based program development environment for the MCU 68HC12 (MC912DG128A) supporting a MCU demonstrator card Debugging of assembler programs Basic training of MCU-programming (8 self-learning lectures) Architektur und Programmierung von Mikrocontrollern (MCU) (An Introduction to the architecture and programming of Microcontrollers) Wolf 2 ECTS WP Bachelor EIT 15 Master Signalverarbeitung (Signal Processing) Staude with Delamotte 4 ECTS P Master EIT-KT, 1.Trimester P Master ME-VSK, 1. Trimester WP Master EIT, ME, INF-ET Introduction to digital signal processing Classification of signals Description of discrete-time signals, discrete linear time-invariant (LTI) systems Review of Fourier series, Fourier transform, Laplace transform, sampling theorem Discrete-time Fourier transform (DTFT) z-transform Discrete random variables and random processes, correlation functions and correlation matrices, power spectral density Discrete convolution Digital filter structures Adaptive filters: MMSE criterion, Wiener filter, orthogonality principle, linear prediction, system identification, LMS and RLS algorithm Discrete Fourier transform (DFT) Fast Fourier transform (FFT) Applications of the Discrete Fourier Transform (DFT): Interpolation, fast convolution with overlap-add and overlap-save method Spectrum estimation using the DFT: Leakage effect, window types Estimation of autocorrelation sequences and power spectrum density:unbiased and consistent estimators, cyclic correlation, Rader method, periodogram, correlogram, Bartlett method, Welch method Parametric estimation methods Spectral estimation with Multiple Signal Classification (MUSIC) Review of matrix computation and decomposition methods Informationsverarbeitung (Information Processing) Ivrlač 4 ECTS P Master EIT-KT, 2. Trimester P Master ME-VSK, 2. Trimester WP Master EIT, ME, INF-ET Grundlagen der Signalverarbeitung (Fundamentals of Signal Processing) Staude 2 ECTS P Master EIT-ST, 1. Trimester WP Master EIT Introduction to digital signal processing Description of discrete-time signals, discrete linear time-invariant (LTI) systems Review of Fourier series, Fourier transform Discrete-time Fourier transform (DTFT) Discrete random variables and random processes, correlation functions and correlation matrices, power spectral density Discrete convolution Digital filter structures Adaptive filters: MMSE criterion, Wiener filter, orthogonality principle Discrete Fourier transform (DFT) Digitale Signalverarbeitung (Digital Signal Processing) Staude 5 ECTS P Master CAE-SuV, 2.Trimester WP Master CAE Introduction to digital signal processing Sampling Theorem and quantization Fundamentals of probability theory and random processes Review of Fourier series, Fourier transform Discrete-time Fourier transform (DTFT) Discrete Fourier transform (DFT) Fast Fourier transform (FFT) linear-time invariant (LTI) systems principles of digital filters 16 Introduction to channel coding Basics from information theory: Discrete memoryless channel models, channel coding theorem, channel capacity Simple block codes: Repetition code, single parity check code, Hamming code Description of block codes: Generator and parity check matrix, generator polynomials, code rate, Hamming distance, Hamming weight, bounds on the minimum Hamming distance, linear codes, systematic and non-systematic encoders Low density parity check (LDPC) codes Factor graphs Decoding principles: Syndrom decoding, maximum likelihood (ML) decoding, maximum a-posteriori probability (MAP) decoding, a-posteriori probability (APP) decoding, hard decision and soft decision decoding, soft-in soft-out decoding, log-likelihood ratios, extrinsic information, message passing decoding, iterative decoding Principles of analytical performance evaluation and performance evaluation by computer simulation Convolutional codes, Viterbi decoding Rate-compatible punctured codes, automatic repeat request (ARQ) Concatenated codes and iterative (turbo) decoding Principle of coded modulation Channel codes in commercial systems Moderne Verfahren der Kanalcodierung und Decodierung (Modern Channel Coding and Decoding Methods) Bauch with Pflüger and Delamotte 3 ECTS P Master EIT-ST, ME-MMP, 3.Trimester WP Master EIT, CAE Introduction to Source Coding: Source Coding Theorem, Basic Source Codes (Huffman, Lempel-Ziv, Shannon-Fano) Introduction to channel coding Basics from information theory: Discrete memoryless channel models, channel coding theorem, channel capacity Simple block codes: Repetition code, single parity check code, Hamming code Description of block codes: Generator and parity check matrix, generator polynomials, code rate, Hamming distance, Hamming weight, bounds on the minimum Hamming distance, linear codes, systematic and non-systematic encoders Low density parity check (LDPC) codes Factor graphs Decoding principles: Syndrom decoding, maximum likelihood (ML) decoding, maximum a-posteriori probability (MAP) decoding, a-posteriori probability (APP) decoding, hard decision and soft decision decoding, soft-in soft-out decoding, log-likelihood ratios, extrinsic information, message passing decoding, iterative decoding Principles of analytical performance evaluation and performance evaluation by computer simulation Convolutional codes, Viterbi decoding Rate-compatible punctured codes, automatic repeat request (ARQ) Concatenated codes and iterative (turbo) decoding Principle of coded modulation Quellen Codierung und Kanalcodierung (Source Coding and Channel Coding) Bauch with Pflüger and Delamotte 5 ECTS P Master ME-VSK, 3. Trimester WP Master EIT, ME 17 Embedded System Overview Characteristics of reactive systems Sensors and actuators Architecture of selected microcontrollers and –processors Standard single-purpose processors (memory, timer, watchdog, UART, ...) Design, simulation, and verification tools Real-time systems Interfaces and busses Middleware Hybrid and distributed embedded systems Safety critical systems Biosignal-Messtechnik (Biosignal Measurement Technology) Staude 2 ECTS WP Master EIT, ME, LRT, INF-ET Biomedical signals: Overview and definition Application examples in medicine, biology and ambient-assisted living Physiology of biological signal sources Sensors and signal registration Safety aspects Biosignalverarbeitung (Biosignal Processing) Staude 2 ECTS WP Master EIT, ME, LRT, INF-ET Digital signal representation in time and frequency domains Overview: Biosignal processing methodology Linear and non-linear methods for signal analysis and feature extraction Monitoring and alarms Pattern recognition and diagnosis support Contest-sensitive strategies Expert systems and artificial intelligence Modellierung menschlichen Verhaltens in Informationsystemen (Modelling human behavior in information systems) Dambier 2 ECTS WP Master EIT, ME, LRT Modeling fundamentals The human black-box Sensor technology Modeling human control Models human behavior in safty-critical systems Konzepte Fahrerassistenzsystemen (Concepts in driver assistance systems) Manstetten 2 ECTS WP Master EIT, ME, LRT This course reports about trends in the design of commercially available driver assistance systems. In detail, it addresses Introduction to basic tasks of vehicle navigation control Categories of available driver assistance systems What can accident analysis contribute to the design? Available sensors and their technologies (e.g. front radar) Design principles of the Human-Machine-Interface Driver Models Driver Monitoring Implications for traffic flow and drive safety Demonstration of a test car for conducting real driving experiments Embedded Systems Staude 3 ECTS P Master EIT-KT, 2. Trimester P Master ME-VSK, 2. Trimester WP Master EIT, ME, LRT 18 A hands-on training of advanced PLC application represents the main goal of this project study independently conducted by the student in the lab without classroom events. but under intensive supervision of the lecturer. Students have to work on a task from process control (e.g. to establish the program to control a small experimental robot located in a production line), which provides insights to specific ikey issues of digital plant control by PLC. Basic PLC knowledge (as imparted by the B.Sc. PLC course) is required to start. In detail, the project aims to train Exact task description by state logic diagrams and flow charts as used in automata design Forming a sophisticated concept to solve the complex task by PLC High level PLC programming skills Online debugging in PLC environment Profound testing of the whole system and exact documentation Presentation of the project using MS PowerPoint SPS - Ein Studienprojekt aus der Automatisierungstechnik (PLC application in an automation task - a student project) Wolf 2 ECTS WP Master EIT, ME, LRT Artificial intelligence (AI) methods (as nonlinear approaches) usually are educated as a subsidiary subject in the “shadow” of linear system methods. Nevertheless, AI is well established in signal processing, thus this introductory course offers the students a basic knowledge. It focuses on: Foundations in Artificial Intelligence (AI) Relationship between classical signal processing (linear systems) and AI systems (nonlinear systems) Basic concepts of artificial neural networks (NN) Tools to design a NN for signal processing and pattern recognition Finally, the students will conduct a lab experiment solving a pattern recognition task by a simple NN realized on a PC. Methoden der künstlichen Intelligenz: Neuronale Netze (Artificial Intelligence: Basics of Neural Networks) Wolf 2 ECTS WP Master EIT, ME Digital process control is introduced by presenting Foundations in Process Control Architecture of Microcontrollers (MCU) Real-time features of MCU, interrupt processing Programming of MCU in assembler Evaluation methods of MCUs for a given project Finally, the students will conduct a lab experiment solving revolution frequency control of a DC motor. Prozessdatenverarbeitung und Microcontroller (Real-time data processing and Microcontrollers) Wolf 2 ECTS WP Master EIT, ME, LRT Extended graphics Modular and recursive programming concepts Embedded functions Nested functions Flexible handling of function arguments (parameter-value combinations) Interactive user-interfaces (callbacks) Data import and export Realtime data processing Parallel processing concepts Toolboxes MATLAB advanced Staude 5 ECTS WP Master EIT, ME, LRT 19 3.3 Ph.D. Candidates Seminar May 07, 2013 Zifeng Wu: Introduction to Fiber-Optic Channels June 04, 2013 Michael Nebel: Introduction to Iterative Decoding of LDPC, Turbo and Repeat-Accumulate Codes June 11, 2013 Adriana Lobato: Long-Haul Multi-Mode Transmission June 18, 2013 Stephan Ludwig: The Optimum Receiver - A Tutorial June 18, 2013 Nora Tax: Common Receiver Architectures in MIMO Systems July 02, 2013 Florian Moll: Towards an empirical channel model for the optical low-Earth orbit downlink July 08, 2013 Vito Dantona: Introduction to Nonlinear Power Amplifiers: System Models, Distortion Evaluation and Countermeasures July 22, 2013 Christian Hofmann: MIMO Wireless Channel Modeling 3.4 Bachelor Theses March 27, 2012 Supervisor: Nora Tax March 4, 2013 Supervisor: Berthold Lankl Bernhard Spinnler, Coriant GmbH 20 Robert Cederberg: Untersuchung eines FFT-Templates in VHDL und dessen praktische Implementierung in ein FPGA Adama Berte: Characterisation of IQ-Mach-Zehnder Modulators March 14, 2013 Supervisor: Vito Dantona Patrick Plitt: Charakterisierung der Universal Software Radio Peripheral Networked Series in Verbindung mit MATLAB April 12, 2013 Supervisor: Christian Hofmann Julius Marquardt: Analyse und Modellierung von MIMO-Funkkanälen - Rice-Faktor und Verhältnis der Leistungen von LOS- und NLOS-Signalkomponente Stephan Oeser: Erstellung eines LabView basierenden Teststandes für Stellsysteme im Kaliber <90mm January 29, 2014 Supervisor: Berthold Lankl Bernhard Kipfelsberger, MBDA Vizenz Korduan: Beeinflussung von Reaktionszeiten durch nicht-letale Wirkmittel June 30, 2013 Supervisor: Werner Wolf Sebastian Sundermann: Modularer PSK/QAM Demodulator March 25, 2014 Supervisor: Michael Nebel Jonas Kotschor: Modularer PSK/QAM Detektor March 26, 2014 Supervisor: Michael Nebel Aude Martinez: Automatische Musiktranskription March 31, 2014 Supervisor: Berthold Lankl with Zifeng Wu Patrick Wendt: Implementierung eines Hamming Codes auf dem Xilinx Spartan-3E FPGA April 25, 2014 Supervisor: Zifeng Wu 3.5 Master Theses Naiyasit Phantia: Parallelisierte Implementierung einer Taktrückgewinnung in einen FPGA July 18, 2012 Supervisor: Daniel Schmidt Felix Müller: Empfängerkonzepte für MISO-Systeme August 20, 2012 Supervisor: Michael Nebel Philippe Schmeling: Informationstheorie angewendet an Summensignalen August 21, 2012 Supervisor: Michael Nebel Robert Rostek: Mobile Fahrzeug zu Fahrzeug MIMO Kanalmessung August 31, 2012 Supervisor: Christian Hofmann Steffen Reisner: Signalverfolger für Boundary Scan Signale an komplexen Baugruppen September 12, 2012 Supervisor: Berthold Lankl Carl-Erich Bausch, Cassidian Jan Peter Kroeske: Analyse des optimalen Prädiktionsempfängers für DSSS-Verfahren in Fast-Fading September 18, 2012 Supervisor: Stephan Ludwig Wjatscheslaw Voht: Konzeption und Integration einer Laserscanner-basierten Messtechnik für die Erstellung von Referenzdaten zur Verifikation dichter Umfeldrepäsentationen für Fahrerassistenzsysteme September 20, 2012 Supervisor: Ralph Grewe, Andree Hohm, Continental AG Gerhard Bauch 21 September 27, 2012 Supervisor: Nora Tax Ali Hamed Al-Btoush: Implementierung einer Sendestrecke mit Quadraturamplitudenmodulation in ein FPGA September 27, 2012 Supervisor: Werner Wolf Sebastian Anders: Driver Monitoring: Lässt sich das intendierte Fahrmanöver aus Fahrdaten bestimmen? September 30, 2012 Supervisor: Werner Wolf Hubert Winkler: Untersuchung von Nicht-letalen Wirkmitteln mit Mehrfachreizung August 28, 2013 Supervisor: Axel Schulte, Gerhard Bauch Maximilian Lange: Evaluation der Eignung einer Low-Cost MEMS-IMU als Primärsensor zur Flugregelung eines Mini-UAVs August 29, 2013 Supervisor: Werner Wolf Tobias Klenk: Optimierung und Dynamisierung Auswertung beim Tapping August 29, 2013 Supervisor: Werner Wolf with Hans Gerisch Christian Speer: Systemtheoretische Analyze des Querregelungsverhalten beim Führen eines Fahrzeugs: Ist die Kognition oder die Motorik die limitierende Größe? August 30, 2013 Supervisor: Michael Nebel 22 der Programme zur Biosignal- Robert Cederberg: Implementierung des Core-Empfängers eines MISO-Systems August 30, 2013 Supervisor: Gerhard Staude Benjamin Fabinger: KFG-Fechtsimulator: Trefferdetektion mittels Hochgeschwindigkeitskamera - Entwicklung eines MATLAB-Codes zur Detektion der Trefferposition August 30, 2013 Supervisor: Christian Hofmann Simon Lattrell: Implementierung und Erprobung eines iterativen Empfängers für neue hochstufige CPM-Wellenformen im militärischen Datenfunk September 2, 2013 Supervisor: Werner Wolf with Hans Gerisch Hendrik Lange: Experimentelle Analyse des Querregelungsverhalten bei deterministischen Führungssignalen September 20, 2013 Supervisor: Werner Wolf Michael Herbert: Optimierung eines Multitasking-Experiments mittels DIAdem® (National Instruments Inc.) und MATLAB® (Mathworks Inc.) Thomas Kürsten: January 2, 2014 Supervisor: Gerhard Staude KFG-Fechtsimulator: Trefferdetektion mittels Hochgeschwindigkeitskamera - Rekonstruktion der Trefferpositionen im Weltkoordinatensystem 3.6 Student Research Projects (Studienarbeiten) K. Navneeth Nair: (Indian Institute of Technology, Madras) Human-Machine-Interface: Motor timing analysis of tapping data July 27, 2012 Supervisor: Werner Wolf Valeriu Balaban: (Politehnica University of Bucharest): Human motor control in steering: Is linear control theory an appropriate mean to describe driver behavior? (ERASMUS project) September 28, 2012 Supervisor: Werner Wolf Alexandru-Mihai Siserman: (Politehnica University of Bucharest): Multitasking performance in tapping experiments: Do movement parameters provide additional information on brain processes? A biosignal analysis study. (ERASMUS project) September 28, 2012 Supervisor: Werner Wolf Alexandra A. Dumitru: (Politehnica University of Bucharest): Multitasking performance: tapping provides additional informations on brain processes. (ERASMUS project) September 30, 2012 Supervisor: Werner Wolf Adriana G.I. Mitru: (Politehnica University of Bucharest): Do EMG parameters provide additional information on motor coordination? A biosignal analysis study. (ERASMUS project) September 30, 2012 Supervisor: Werner Wolf Cătălin Iustin I. Necula: (Politehnica University of Bucharest) A Microcontroller Based Reaction Time Measurement System for Analysis of Bimanual Control: Color specific response times. (ERASMUS project) September 30, 2012 Supervisor: Werner Wolf Stephan Oeser: Erstellung eines LabView basierenden Teststandes für Servomotoren October 31, 2013 Supervisor: Berthold Lankl Bernhard Kipfelsberger, MBDA 3.7 Kolloquium Informationstechnik Vladimir Sidorenko: „Polar Codes“ Institute of Communications Engineering, Ulm University, Germany. March 6, 2013 23 Kittipong Piyawanno Carrier Synchronization in High Bit-Rate Optical Transmission Systems Committee Chair: Prof. Dr.-Ing. Jochen Schein 1. Examiner: Prof. Dr.-Ing. Berthold Lankl 2. Examiner: Prof. Dr.-Ing. Henning Bülow Friedrich-Alexander-Universität Erlangen-Nürnberg 3. Examiner: Prof. Dr.-Ing. Gerhard Bauch Date of exam: July 17, 2012 Kittipong Piyawanno received his PhD for his thesis entitled Carrier Synchronization in High Bit-Rate Optical Transmission Systems at the Institute of Communications Engineering (Chair Communication Systems), by the faculty board consisting of Prof. Schein, Prof. Lankl, Prof. Bülow (Friedrich-AlexanderUniversität Erlangen-Nürnberg) and Prof. Bauch. After the examination procedure, Kittipong Piyawanno received the traditional Doktorhut accompanied by a laudatio conducted by one of his research colleagues and the famous ride over the university campus. The focus of this project was on carrier synchronization in high bitrate optical transmission systems. Also this work was done in a close collaboration with Nokia-SiemensNetworks (now Coriant). The laboratory facilities at Nokia-SiemensNetworks were used for measurements and field tests. Carrier recovery has become an interesting topic, because fiber optic systems are using modulation formats, which require coherent demodulation. Nowadays mostly two orthogonal polarization states are used in order to achieve a high bandwidth efficiency. Due to the high carrier frequency in the order of 200THz provided by lasers, frequency stability and phase noise of these lasers play an important role. In addition nonlinear phase noise components caused in dense wavelength division multiplex (DWDM) systems by the fiber nonlinearity have to be taken into account. Due to bit rates in the order of more than 100Gb/s every signal processing block in such a receiver has to use algorithms, which allow for parallelization. Typical operating frequencies within ASICs are in the order of several hundred megahertz. The clock speed of analog to digital converters for the considered fiber optic systems are in the range of 25 to 50GSamples/s. Therefore a parallelization factor in the order of more than hundred is typically used. As a consequence the complexity of the different signal processing algorithms is a very important measure. Only algorithms with moderate complexity could be implemented in such hich bit rate fiber optic transmission systems. The thesis of Kittipong Piyawanno investigates in different approaches like differential and multisymbol differential detection as well as coherent concepts using feedback and feedforward structures. Multisymbol differential detection has the drawback of a high implementation complexity especially at higher modulation formats. Therefore also phase estimation concepts are investigated, which use multiple symbols (MSPE). An iterative multiple symbol phase estimator (IMSPE) is proposed by the author offering similar or even improved performance at lower complexity. The advantage of this approach is also, that there is no longer a feedback path and therefore interleaved parallelization is possible. Possibilities of parallelization are investigated. The author shows the use of superscalar architectures, which are known from microprocessors, for parallelization of DSP blocks in fiber optic systems. Feedforward carrier recovery schemes like M-power and ViterbiViterbi algorithms are investigated. Due to the importance of dual polarization schemes also polarization coupled carrier phase estimation is proposed and elaborated. Feedback carrier recovery schemes are somehow problematic if parallelization has to be used. The author proposed the usage of the superscalar architecture within this feedback structure to achieve a good loop performance. Due to high initial frequency offsets of the lasers used for downconversion, an additional frequency estimation and control is necessary. This aspect is also covered in this thesis. Several approaches using differential phases as well as concepts like quadricorrelator are investigated. The author proposed a schemes, which uses the typically available frequency domain information for estimation of the carrier frequency offset. This frequency domain information is typically available, because a frequency domain equalizer is mostly used for correction of the chromatic dispersion of the transmission fiber. Many of the algorithms, which were investigated or newly developed have been experimentally tested in the laboratories of NokiaSiemens-Networks. In this way practical issues such as hardware imperfections as well as the real fiber channel could be considered and included into the development of new algorithms addressing phase and frequency estimation and tracking. Such a laboratory environment is invaluable especially for universities. 25 Fabian Hauske The Importance of Digital Signal Processing in High Speed Optical Receivers: Equalization, Impairment Compensation and Performance Monitoring Committee Chair: Prof. Dr. techn. Christian Kargel 1. Examiner: Prof. Dr.-Ing. Berthold Lankl 2. Examiner: Prof. Dr.-Ing. Norbert Hanik Technische Universität München, Germany Date of exam: April 10, 2013 Dipl.-Ing. Fabian Hauske received his PhD for his thesis entitled The Importance of Digital Signal Processing in High Speed Optical Receivers: Equalization, Impairment Compensation and Performance Monitoring at the Institute of Communications Engineering (Chair Communication Systems). The faculty board consisted of Prof. Kargel, Prof. Lankl and Prof. Hanik (Technische Universität München). After the successful examination procedure Fabian Hauske received his traditional Doktorhut. The reception of this Doktorhut was accompanied by a laudatio of one of his research colleagues. The traditional ride over the university campus ended at the Uni bar, where the successful PhD procedure was celebrated. This work for this thesis was supported by Nokia-SiemensNetworks (now Coriant). This project focused on digital signal processing in receivers for high speed optical transmission systems. Due to bit rates above 100Gb/s digital signal processing has to face clock rates of the analog to digital converter in the order of 25 to 50GSamples/s. This high data rate can only be processed digitally using a high degree of parallelization, which in consequence limits the complexity of the signal processing algorithms. It is usually not sufficient to pick simple algorithms known form radio applications, because the channel characteristic of a fiber channel are substantially different. The fiber channel exhibits linear distortions such as chromatic distortion and polarization mode distortion but also nonlinear distortions. Nonlinear distortions are 26 especially crucial in multicarrier systems, which is the typical case in fiber transmission systems. Typically hundred or even more carriers are present on a single fiber. These signals interact with each other and cause impairments, which have to be considered. The thesis of Fabian Hauske addresses signal processing algorithms with a focus on equalization, but also synchronization is addressed and parameter estimation for usage in optical performance monitoring. Optical performance monitoring is important for supervision of the transmission quality of a fiber link, but especially for future automatically configured networks. Equalization concepts are given for fiber optic transmission systems using on-off-keying (OOK) and also higher modulation formats, which use a coherent receiver. For the OOK modulation format a maximum likelihood estimation concept is presented, which used adaptively trained estimates of probability density functions for the metric computation. This scheme was adapted to BPSK and QPSK and a complexity reduction was proposed. Equalization using an adaptive linear filter was investigated and optimized. A concept using a frequency domain equalizer in conjunction with a time domain equalizer was proposed by the author after a complexity investigation. The frequency domain equalizer is mainly for the chromatic dispersion, which causes interactions of a multitude of transmitted symbols. This kind of distortion is very constant over time, therefore the necessary adaptation is limited. The time domain equalizer could be kept very short, because only residual chromatic distortion and polarization mode distortion has to be addressed by this equalizer. The thesis addresses also a timing synchronization algorithm, based on histograms, which is very insensitive to chromatic dispersion. This algorithm outperforms clearly known classical algorithms such as square timing recovery or the Gardner algorithm. In addition the thesis of Fabian Hauske addresses optical performance monitoring, Algorithms for estimating all interesting signal parameters such as the optical signal to noise ratio, the chromatic dispersion, the polarization mode dispersion and the polarization dependent loss are proposed. These parameters can be used for updating signal processing blocks, such as the frequency domain equalizer. Another important application is the usage of these signal parameters for automatic switching and routing of optical signals in flexible networks of the future. Software defined networks (SDN) are investigated in many present research activities. Many of the algorithms proposed in this thesis have been applied and tested in the laboratory environment of Nokia-SiemensNetworks (now Coriant). Due to this cooperation system imperfections as well as a real channel could be used as a test environment for the developed signal processing algorithms. This real test environment is a very important possibility in addition to computer simulations, because very often the simulation models have to be refined after measurements and subsequently provide better results. Cong Khac Dung Basic Timing Concepts for the Execution of Multiple Motor Tasks: Coordination of Periodic Tapping with Discrete Tasks Committee Chair: Prof. Dr.-Ing. Gerhard Bauch 1. Examiner: Prof. Dr. techn. Christian Kargel 2. Examiner: Prof. Dr.-Ing. Werner Wolf Date of exam: August 20, 2012 The Human-Machine-Interface represents an important issue when designing assistance devices for humans, with Motor Coordination in Multitasking being one of the multiple design aspects. This interdisciplinary PhD project conducted at the Institute of Communication Engineering as part of the Excellence Cluster ‘Cognition for Technical Systems’ (COTESYS) focuses to determine basic limitations in multitasking of a human operator. Dipl.-Inform. Cong Khac Dung successfully presented his Ph.D. thesis to the examination board constituted of Profs. Bauch (chairman), Kargel and Wolf. Numerous daily activities require simultaneous execution of more than one task, e.g. using a mobile phone during walking, driving a car, playing tennis, performing piano. Besides multiple ongoing cognitive processes, all these examples are employing movements of the lower and upper limbs as well as of the head concurrently (not to forget posture as a global task), thus they have to be executed as integrated action of the different motor components: Multi-tasking requires motor coordination. A challenging behavioral requirement, especially in multitasking, is to maintain both spatial and temporal accuracy of all motor actions given in an emergency response revealing possible resource bottlenecks. Laboratory investigations on this topic often use dual-task experiments, e.g. bimanual tapping (tapping is hitting a key or a surface by a finger tip) with different instructions for the right and left hand, respectively. A specific case of coordination represents the execution of a dis- crete movement while performing periodic movements. Mutual influences between both movements are reported in literature: the socalled “entrainment effect” describes that discrete movements superimposed upon periodic rhythmic movements show some dependence on the simultaneous execution of the periodic movement. Thus, the onset of the single discrete motor response is not simply determined by the onset of the go-stimulus only, but the ongoing “background” movement definitely modulates the onset probability of the discrete response across the period. This behavior can be interpreted within the framework of the minimum energy model, and it can be observed in tremor patients as well. A traditional experimental setup for tapping data measurement uses ground contact sensors like micro switches for the motor action observation, only; the evaluation of the discrete events provided by these switches is quite simple, but the amount of obtained information is rather limited. In this PhD project, a novel design for tapping experiments with high-resolution recording of the complete time course of the finger movements was used, and the required evaluation procedures for the biomechanical and muscle activity data (EMG) were developed. The latter are based on sophisticated maximumlikelihood-techniques, which again is an example of progress in research through advanced biosignal processing. The experimental paradigm consists of a leading synchronization phase, followed by a continuation phase, where subjects contin- ues the rhythm by self-paced tapping. Tapping included normal tapping, contact-free tapping, and isometric tapping for both singletask (ST) and dual-task (DT) conditions. Mainly, finger tapping experiments were conducted, for generalization, however, also usage of foot tapping was included. Furthermore, voice tapping and mental tapping in combination with normal tapping were employed. Four different types of coordination schemes were observed in DT tapping behavior: Marginal Tapping Interaction (MTI), Periodic Tap Retardation (PTR), Periodic Tap Hastening (PTH) and Discrete Tap Entrainment (DTE); PTR and PTH reflect dominance of the discrete response in motor coordination, corresponding to the phase resetting effect as described earlier in the tapping literature. In contrast, DTE reflected the dominant impact of the periodic tapping on the discrete tap. In common, PTR, PTH and DTE lead to a synchronized execution of the two concurrent tapping tasks (i.e. discrete tap and periodic tapping). An interesting aspect is given by the final result that voluntary saccadic eye movements can be executed independently from periodic manual tapping, which may be a consequence of the different neuronal pathways of the eye control. But the spontaneous (involuntary) eye blinks were entrained by the (voluntary) periodic hand tapping, which demonstrates a mutual coupling within the sensorimotor loop. In summary, the PhD project revealed some novel insights to human motor coordination which should be considered in the design of human-machine-interfaces. 27 Laura Premoselli Periphere Magnetstimulation zur Frührehabilitation zentralbedingter Lähmungen von Arm und Hand in den ersten Wochen nach Schlaganfall Committee Chair: Prof. Dr. med. Klaus Gietzen 1. Examiner: Prof. Dr. med. Frank Lehmann-Horn 2. Examiner: Prof. Dr.-Ing. Werner Wolf Date of exam: November 15, 2012 Activities in Biomedical Information Technology like they are hosted at the Chair for Information Processing imply cooperations with clinical partners where advanced ideas developed in basic research efforts are applied in actual clinical problems. This PhD thesis entitled Peripheral magnetic stimulation applied in early rehabilitation of stroke patients with upper limb spasticity of central origin (translated) was conducted at the Department of Neurology (Technical University Munich) and the Division of Neurophysiology (University of Ulm) with the support of the Institute of Communication Engineering. The repetitive peripheral magnetic stimulation (RPMS) is an innovative therapeutic approach which is applied for the treatment of central paresis of the upper limb in the neurological rehabilitation. Magnetic stimulation of neurons and nerve fibres, respectively, is based on the functional principle of neurons: they get excitatory and inhibitory input from other neurons and receptors via ion channels, and when the sum of all inputs exceeds a threshold, an output impulse traveling along the axon to the subsequent neuronal circuitry is generated. Such a ionic flow in the input channels can artificially induced by a strong magnetic field produced by a stimulation coil [1]. Since the magnetic field is propagating through bones and tissue layers, the coil can be placed outside the body, in this case over the muscles affected by the stroke event. Until now, the treatment of the complex clinical situation after a stroke event reveals the limits of the current medical options and possibili- 28 ties, which implies the high demand of research activities in this field. The concept of this project was to reestablish the sensorimotor loop which is usually activated during a movement; the loop starts with a motor command to the motor cortex which is continued via the spinal cord to the peripheral motor neuron located within the spin, which in turn drives the muscle. The muscle response is monitored by different receptor systems (e.g. Golgi elements) and their information is transmitted to the brain levels where the muscle response is checked for being appropriate for the original motor command. The outflow of this loop is damaged by the stroke. Thus, the basic principle of RPMS therapy is the generation of peripherally induced proprioceptive inflow to the central nervous system within the context of sensorimotor integration by a periodically activated coil; i.e. RPMS should reestablish the sensory feedback during passively performed limb movements. Previous studies show some reduction of an existing spastic paresis, an induction and enhancement of the voluntary motor function, and a reduction of limb neglect. This PhD project provides a further contribution to the research on the effect of RPMS, and it dwells on its utilization in the early neurological rehabilitation as a novel idea. Experiments show that the majority of the patients subjectively perceived a reduction of the existing neglect and a variation of the muscle tone. Objectively, a reduction of the neglect and a reduction of the paresis could be most often clinically verified: comparing the level of the electromyogram (of the affected muscles) with the course of the goniometric records, correlated variations of the muscle tone were indicative. Thus, these findings underline the described effects of previous studies within the scope of muscle tone, voluntary motor functions and cognition. Because of the small number of patients available in this project, however, it could not statistically be assured to what extent a flaccid paralysis is influenced by RPMS, in contrast to the proven reduction of a spastic paresis. Despite the fact that finally some issues are still unresolved and unclear, the results present a valuable contribution to the further comprehension of the mechanisms of action of RPMS, and they boost motivation for further investigations. By reduction of the paresis, normalization of the muscle tone and removal of the neglect, RPMS can contribute to an early perception and use of the patient's affected arm in order to counteract an immobilization. With regard to further studies within the context of an optimization of the therapy in the rehabilitation after stroke, one could emphasize the idea to let follow physiotherapy directly after RPMS to intensify a possible induced voluntary motor function and to enforce its stability. In conclusion, it is expected that all therapeutic rudiments for the mobilization after stroke are not singularly assessed but rather they must be combined in the context of a multimodal approach to help the patients most effectively. [1] Barker AT, Jalinous R, Freeston IL. 1985, May 11. Noninvasive magnetic stimulation of the human motor cortex. Lancet 1(8437):1106-1107 Further Ph.D. Exams with Participation from the Institute of Information Technology Christina Hebebrand Digitale Signalverarbeitung in kohärenten optischen Kommunikationssystemen mit mehrstufigen Modulationsformaten 1. Examiner: Prof. Dr.-Ing. Werner Rosenkranz Christian-Albrechts-Universiät zu Kiel, Germany 2. Examiner: Prof. Dr.-Ing. Berthold Lankl Universität der Bundeswehr München, Germany Day of defense: June 6, 2012 Martin Schlosser Limitierende Skalierungseffekte als Grundlage für innovative Feldeffekttransistoren Chair: Prof. Dr.-Ing. Berthold Lankl Universität der Bundeswehr München, Germany 1. Examiner: Prof. Dr. Ignaz Eisele Universität der Bundeswehr München, Germany 2. Examiner: Prof. Dr. Walter Hansch Universität der Bundeswehr München, Germany Day of defense: October 24, 2012 Qualification procedures for an university lecturer (Habilitation) with Participation from the Institute of Information Technolgy Michael Ivrlač, Technische Universität München, Germany Reviewer: Univ.-Prof. Dr. techn. Dr. h.c. Josef A. Nossek Technische Universität München, Germany Lehrstuhl für Netzwerktheorie und Signalverarbeitung Reviewer: Univ.-Prof. Dr. Rudolf Mathar RWTH Aachen University, Germany Lehrstuhl für Theoretische Informationstechnik Reviewer: Univ.-Prof. Dr.-Ing. Berthold Lankl, Universität der Bundeswehr München, Germany Institute of Communications Engineering Final talk and discussion: January 14, 2013 29 General Remarks In the two research groups of the Institute of Information Technology, the main focus of our research is on the lower layers, mainly physical layer and MAC layer, of various types of communications systems: Mobile communication systems, satellite communication systems, fiber optical communication systems for long haul and access applications. The activities include aspects of coding and security, modulation, parameter estimation and synchronization, resource allocation, interference management, signal processing, protocol design and system level investigations. Even though research is completely independent from military constraints, we have some military applications in our research portfolio. Examples are communication to cruise missiles and self-organizing networks in military convoys. A further field of research, which has a long history at the institute, is biological signal processing and man-machine communication with a focus on driver assistant systems. Since the university funds only two researchers per group, most of our projects are third party funded. We aim at a good mixture of more basic research which is mainly funded by the Deutsche Forschungsgemeinschaft (DFG) and applied research funded by e.g. the Federal Ministry of Education and Research (BMBF) and industry collaborations. We also have a close collaboration with the German Aerospace Center (DLR). Joint research in the fields of free-space optical communications as well as interference management in satellite systems has just been initiated in the framework of the joint faculty Munich Aerospace. Furthermore, we have a close relationship with the Bundesamt für Informationsmanagement und Informationstechnik der Bundeswehr (ITAmt). This gives us the chance to get access to field tests in satellite communications since the Bundeswehr is the only German satellite operator. The institute has an outstanding laboratory equipment which allows us to not only do theoretical investigations and computer simulations but also proof-of-concept hardware demonstrations. Also for the verification of the models used in theoretic work such hardware demonstrators are extremely important. The laboratory equipment includes, oscilloscopes, RF synthesizers, network and spectrum analyzers, logic analyzers, signal and arbitrary waveform generators and in addition a driving simulator. Besides this laboratory equipment the technical personal, which is available at the institute is very important for supporting the research projects, which include hardware demonstrators. For example a MIMO channel sounder has been built and used for demonstrations and measurements in the context of our research on multiple antenna (MIMO) transmission under line-of-sight conditions. Also a MIMO transmission system was built and used for measurements in indoor applications using various MIMO equalizer and detection strategies. A MIMO testbed with relay stations is in the set-up progress. Some hardware demonstration systems were also implemented for communication links to slow and fast moving missiles. Research projects carried out in the field of fiber optic communications systems are carried out in collaboration with industrial partners. The laboratory experiments in this field are conducted in the laboratories of our industrial partners. Furthermore, the biological signal processing laboratory provides equipment for a variety of other experiments in the context of understanding fundamental issues of multitasking by human beings. The following pages provide detailed descriptions of the research projects which have been carried out or started during the reporting period. ♦ General Remarks ♦ Research 31 Long-Haul Optical Transmission over Few-Mode Fiber Project partner: Coriant GmbH (previously Nokia Siemens Networks) Adriana Lobato Spatial-division multiplexing in the form of few-mode fibers has captured significant attention for longhaul optical communications, since it allows to linearly increase the channel capacity. This project in collaboration with Coriant GmbH targets to investigate different schemes for the digital signal processing to improve the performance of such systems. A very appealing approach to mitigate the continuous demand on higher data rates is spatial-division multiplexing (SDM). It can be realized by means of few-mode fibers (FMFs), fiber bundles or multi-core fibers (MCF). All options can increase the channel capacity linearly by transmitting over multiple modes, fibers or cores, respectively. Especially, FMFs (carrying typically 6 or 12 spatial and polarization modes) have an important advantage over the other options: optical amplification can be done more efficiently in terms of power consumption. However, before FMF-based commercial systems are available, a set of challenges has to be addressed. These kinds of systems will suffer from increased receiver digital signal processing complexity, due to the significantly longer channel impulse response; complex mode-multiplexing and demultiplexing structures; and modedependent loss or gain (commonly referred as loss, MDL), which originates from inline optical components (e.g. amplifiers, couplers, switches). Recent studies show efforts on reducing the MDL from optical amplifiers by tuning the modal pump power and the dopant distribution. To an extent, MDL can also be reduced via system design: tuning the gain per mode of the few -mode amplifiers (FM-As) according to the loss that the different modes experience along a span. Nevertheless, MDL has still a detrimental effect on the system performance. This projects aims to investigate the impact of MDL in the system performance in different scenarios. The presence of mode coupling inside the fiber is one of these scenarios. The modes in the fiber couple, exchange energy, as a result of mechanical stress or imperfections during the fabrication process. With MDL this energy exchange will be favorable to average out the overall loss with the transmission distance. Thus, the stronger the mode coupling the more convenient it is for the system performance. Although the mode coupling is not a deterministic process it can significantly aid the transmission. The project also looks into the benefit of using different equalization schemes in the receiver. By modulating the transmitted signal of each mode and/or polarization state with orthogonal frequency division multiplexing (OFDM) the equalization complexity using zeroforcing (ZF) or minimum mean square (MMSE) one-tap equalizers is smaller than for single carrier modulation formats. However, the performance is poor in the presence of MDL. Equalization on a subcarrier basis, as with OFDM, allows implementing more advanced equalization schemes like reduced-complexity maximumlikelihood-based detection schemes, which show a significantly higher MDL tolerance than the ZF or MMSE equalization. Figure 1 shows the simulation setup, where the MDL is introduced by the few mode amplifier (FM-A). The signal processing blocks in the receiver have to cope with the various imperfections of the channel and the system components. In order to optimize the signal processing algorithms with respect to performance and complexity it is planned to backup the results from simulation also by experimental work in the laboratories of Coriant. This is especially important for this project, due to new fiber models for the FMF and optical hardware being used with different optical modes. The available models are not as mature as in the case of usual single mode fiber systems and therefore a backup or a refinement of the models used in the simulation is very desirable. Receiver Figure 1: Simulation setup. Channel Estimation Detection Data Demapping ML-based Detection schemes Parallel to serial MMSE Equalizer FFT + Serial to parallel D M U X CP removal MDL Modes: 32 80 km FM-A synchronization FMF M U X Disp. compensation ... QPSKOFDM LP01 ASE x Nspans QPSKOFDM LP21b Optical front end FMF channel Transmitter FEC for 100Gbps Optical Communication System Project partner: Coriant GmbH (previously Nokia Siemens Networks) Paolo Leoni The long-haul high-bitrate optical communication networks forming the backbone of the infrastructure needs to cope with many different impairments. while, at the same time, sustaining the constantly growing traffic. In collaboration with our industrial partner Nokia Siemens Networks (now Coriant) we investigate whether the typical assumptions made when designing the receiver in the linear regime are still valid when the system is operated in the non linear one. Future ultra-long haul optical transport networks will rely on Forward Error Correction (FEC) to broaden the operating margins while combatting several of the signal impairments as, among the others, Amplified Spontaneous Emission (ASE) caused by optical amplification, linear and non-linear effects caused by the propagation such as Self- (SPM) and Cross-Phase Modulation (XPM), Chromatic Dispersion (CD), Polarization Mode Dispersion (PMD), or filtering due to optical elements such as Wavelength Division Multiplexing (WDM) multiplexers / demultiplexers. A promising solution is represented by the concatenation of an inner Soft-Decision (SD) with an outer Hard-Decision (HD) code. The superior performance of SD codes originates from the fact that the decoder is presented with a reliability measure of each bit being 1 or 0 given that a certain symbol (or transition) has been observed, rather than just with logical values. Traditionally, such probabilistic information is calculated under the fundamental assumption that all impairments can be modeled as Additive White Gaussian Noise (AWGN); in collaboration with Nokia Siemens Networks (now Coriant) we inquired whether this assumption still holds true when such systems are not operating in the linear regime anymore. The experimental investigation has been carried out in the laboratories of our industrial partner realizing a 400 km 100G system employing Differential Encoding (DE), Polarization Division Multiplexing (PDM), and a Quadrature Phase Shift Keying (QPSK) constellation. 10G neighbors employing On-Off Keying (OOK) modulation and operating at extremely high launch powers were placed around the central channel, which was therefore under extreme non-linear conditions. The code was a twodimensional (2D) SD Turbo Product Code (TPC), with information word length (k) equal to 1202 = 14400 bits and code word length (n) equal to 1282 = 16384 bits and, hence, with a code rate (R) of 0.8789. Figure 1 [1] shows the results of our investigation as post-FEC Bit Error Rate (BER) vs. pre-FEC BER: the blue curve indicates the results in the Back-To-Back (B2B) case, whereas the red one shows those after transmission in presence of 10G-OOK neighbors. As it can be seen, the TPC suffers from the presence of the OOK neighbors, and becomes unstable; this could be due to the impairments either not being white, or not being additive, anymore. In order to shed some light on this problem we repeated the experiments bit-interleaving 2, 3, and 4 codewords (see again Figure 1, various shades of red/pink), and noticed that in the last case the curve with 10G-OOK neighbors overlapped again with the B2B case. We concluded that the degradation was due to the burstiness of the errors, a problem that can be tackled by interleaving. [1] P. Leoni, V.A.J.M. Sleiffer, S. Calabrò, V. Veljanovski, M. Kuschnerov, S. Jansen, B. Lankl, "Impact of Interleaving on SD-FEC Operating in Highly Non-Linear XPM-Limited Regime", OFC 2013, paper OW1E.6. Figure 1: Post-FEC BER vs. pre-FEC BER in B2B and after transmission in presence of OOK neighbors with no, 2 bits, 3 bits, and 4 bits interleaving. 33 Digital Signal Processing and Channel Coding for Optical Fiber Communications Doris Pflüger Optical fiber communications have a major part in worldwide communications. Due to the growing need for high data rates and high-speed transmission it is necessary to emphasize attention on signal processing and channel coding. Hereby the special properties of optical fiber require differential modulation, which introduces the differential penalty. A turbo loop between the LDPC decoder and the demodulator reduces this penalty. We investigate a method to optimize the LDPC code, using EXIT charts and their geometrical properties. Worldwide communication networks are based to an everincreasing extent on optical fiber. Its large frequency range offers a wide bandwidth, and its low attenuation allows transmission over long distances of more than one thousand kilometers. Even though the available bandwidth of optical fiber is very high, the exponential growth of data traffic requires advanced modulation schemes combined with dense channel spacing for bandwidth‐efficient transmission. Therefore the advantages of digital signal processing and coding over compensating fiber in matters of complexity and performance have to be exploited. In particular a good forward error correction is essential to guarantee the required bit error rate in the range of 10-15. A class of codes which are promising to satisfy Figure 1: Joint Digital Signal Processing and Decoding is applied. 34 these requirements are low density parity check (LDPC) codes. They distinguish themselves by their good error correcting and almost capacity achieving behavior, and by their potential for parallelization. Some of the characteristics in optical communications are very different from other communication systems. Especially for high date rate the specific behavior of optical fiber becomes apparent. For example hybrid systems, consisting of neighboring channels with a data rate of 100Gbit/s and 10Gbit/s, suffer from phase error bursts. They require differential modulation, which always comes at the cost of a degradation of the bit error rate over the signal to noise ratio, the so called differential penalty. This causes a conflict to the goal of the forward error correction. Therefore a joint consideration of differential demodulation and error correction is advisable. An often used approach to solve the dilemma between demodulation and decoding is to apply a feedback loop from the error correction decoder back to the differential demodulation, see Fig. 1. It has been shown that for certain types of decoding algorithms, like convolutional codes, this feedback is an appropriate method to overcome the differential penalty. LDPC codes are decoded iteratively themselves. Thus it is not self -evident that the additional iteration between decoder and demodulation causes further gain. Hereby the optimal code design is an urgent problem to identify the relevant constraints to overcome the differential penalty. In particular, irregular LDPC codes are considered. Several aspects have to be taken into account in the optimization, like the target code rate, the error floor or the complexity. With the help of EXIT charts, see Fig. 2, we have set up an optimization problem to determine if the differential penalty can be compensated. Hereby we distinguish several cases like a pure differential case or a combined differential and coherent case to gain flexibility in the application of the constructed codes. Depending on the optimization parameters, the problem is nonlinear, and it is unknown whether it is convex. Therefore the standard optimization algorithms fail. To get a complete overview we have investigated an approximation of the non linear cases. We use geometrical properties of the EXIT chart like the gradients or tangents to construct upper and lower limits of the optimum, see Fig. 2. Comparing and analyzing different modulation scenarios, we have identified the necessary parameter combinations to overcome the differential penalty. In contrast to previous attempts, this approach is systematic and does not depend on try-and-error. Figure 2: Geometrical properties of the EXIT Chart are used to construct optimal codes. Robust Free-Space Optical Communications Project partner: Deutsches Zentrum für Luft– und Raumfahrt e.V. (DLR) Zifeng Wu „00101101…“ laser method is a simple on-off keying of the laser and there is comparably little signal processing involved in current systems. It is to be expected that FSO will experience a similar surge in development as fiber-optics if optical heterodyne detection is employed in the receiver (Fig. 2). In this case, the received optical signal is superimposed with a local oscillator (laser) before being detected with a balanced photodiode pair. The difference of the photocurrents yields an intermediate frequency signal containing both amplitude- and phase modulation of the optical signal. Optical heterodyne detection not only provides an improved receiver sensitivity but also the huge advantage of linear signal recovery in the electrical domain, enabling more efficient digital signal processing. 0 0 1 … 0 0 1 … turbulence TIA ADC photodiode DSP clouds, fog signal generator detector wavefront distortions TIA: transimpedance amplifier attenuation ADC: analog-to-digital converter, DSP: digital signal processor laser - TIA received optical signal balanced photodiode pair Figure 1: FSO communication system with on-off keying signaling. 3dB coupler Modern optical communication systems are designed around a common concept (Fig. 1). A highly coherent light source, e.g. a semiconductor laser, is modulated by an electrical data signal to obtain an optical transmission signal. In fiber-based systems, the laser beam is then launched into an optical fiber which allows for low-loss propagation over several tens of kilometers. If the deployment of optical fiber is too costly or otherwise unfeasible, then a natural alternative is to launch the collimated laser beam directly through the air towards a receiving aperture which focuses the beam onto a photodetector. The power loss experienced due to free-space propagation will depend on the weather conditions. In the worst case, total obstruction of the beam by clouds or other objects can occur. However, there are degradations even in clear sky: due to the presence of atmospheric turbulence, the air behaves as a medium with stochastically varying refractive index. This leads to wavefront distortions of the beam which manifests in scintillation, an effect that is similarly observed in the twinkling of stars in the night sky. Scintillation is a problem at Gbit/s data rates since the signal power at the receiver aperture can fade to unacceptable levels for several milliseconds. This translates into a loss of several million data bits which needs to be overcome by powerful forward-errorcorrection (FEC) techniques, possibly combined with automatic-repeat -request (ARQ). Fast synchronization and reacquisition after such deep fades is also required. While the physics behind atmospheric turbulence are fairly well understood, the most accurate among the existing channel models include too many parameters to be of practical use in our scenario. Therefore, another challenge that remains is to find a model that is adequate and tractable for the purposes of a communications engineer. This is another goal that we ultimately want to pursue with our partners at DLR. FSO is in a very similar state today as fiber-optic communications was in the 90s: the signaling modulator Free-space optical communications (FSO) employs collimated laser beams to transmit information directly through the air. People have therefore referred to this technology in a tongue-in-cheek manner as “fiber-free optical communications”. FSO offers a cost-effective alternative to fiber-based systems for broadband communication. However, there are currently still many challenges to be solved until FSO reaches the same level of maturity. In this project, we investigate the design of robust Gbit/s FSO communication systems that achieve high availability in the presence of disturbances introduced by the free-space channel. Figure 2: Block diagram for optical heterodyne detection. 35 Next Generation Optical Access Systems (NGOA) Funded by BMBF Daniel Schmidt x(n-2) x(n-3) feedforward algorithm controller Interp. Interp. Interp. FIFO buffer x(n-1) delay x(n) sample dropping block Over the last years the needs for higher data rates were growing exponentially because of applications like P2P, audio and video streaming, cloud computing and so on. The bottleneck for the data on the way to the costumers is the last mile, which is generally denoted as access network. Today, the physical medium for these access networks is either the copper cable (DSL, TV-cable) or the air (UMTS, LTE). But these two mediums have one drawback: They have a limited bandwidth and decision Growing demands for higher data rates in the access networks will raise the need for connecting the costumers directly via optical fiber to the core network (FTTH). The goal of our research is to design and optimize the digital processing parts of the modems for such an optical access network. On the one hand linear and non linear propagation effects of the optical fiber have to be considered and equalized, on the other hand a parallelized architecture of the digital signal processing algorithms have to be developed in order to handle the high speed data rates of those systems. thus data speed cannot be increased arbitrarily, since the possible data rates are proportional to the available bandwidth. One solution for higher data rates in the access networks is to take optical fiber as transmission medium, where the usable bandwidth of about 10 THz is unbeatable high compared to some hundred MHz bandwidth of a copper cable or expensive wireless bandwidth (telephone companies paid 50 Mrd. € for 100 MHz bandwidth in the Germany for a 20 years license). Optical fiber is already standard inside the core networks of the telephone companies. While in Europe it is still unusual that fiber optics are installed directly to the costumer’s house (“fiber to the home”, FTTH), the number of FTTH users in some Asian countries is higher than conventional broadband subscribers. Using the wavelength division multiplexing (WDM) technique, some hundred users can be supplied with data using only one single fiber. In WDM the individual channels do not interfere because they are using different wavelengths of laser light and are thus separated in frequency domain. For optical access networks the so called passive optical networks (PONs) are of special interest, because they are only using passive components inside the transmis- Interp. enable / disable Block diagram of a parallelized clock recovery circuit for a NGOA receiver. 36 sion link. By that, they are saving money compared to an infrastructure consisting of active optical components (higher power consumption, demanding maintenance and expensive hardware) and are easier to adjust to new developments in the endpoint equipment. The goal of our research is to develop the digital signal processing parts of the transmitting and receiving modems for such an optical access network. While the equipment at the costumer’s site should be able to handle just one data stream of around one Gbit per second, the devices at the operator’s site must process several of those high data streams in parallel. For the real time implementation it must be considered that actual silicon devices like FPGAs or ASICs are clocked with only a few hundred MHz. In order to process rates of some Giga samples per second several successive samples are arranged as one block and are processed in parallel. Thus the clocking speed of the silicon device can be less than the sampling rate of the system. While for some components the implementation in a parallelized manner is straight forward, for others like for example the digital clock recovery it is not. So the investigation of a parallelized architecture of the necessary algorithms is one part of our work. Because parallelization consumes much of chip area low complexity structures for the algorithms have to be found in order to fit a whole receiver into the given chip area. This is an demanding challenge especially for the channelizer at the operator’s site equipment since many data streams of the users has to be separated and downconverted at the same time. Together with a partner of the industry a real-time system with the proposed parallelized algorithms was built and tested. Signal Processing for Robust Communication over Very Fast Fading Channels Project partner: MBD.A Missile Systems Stephan Ludwig, Anselm Karl Robust and reliable communication in ground-to-air scenarios departs from general assumptions that are common in mobile communication systems due to its strongly timevariant multi-path channels. In an industry cooperation with MBDA Missile Systems, we investigate single-user communication algorithms that allow reliable and robust communication under such circumstances. The for over 5 years existing cooperation with MBDA Germany has been passed by Dipl.-Ing. Stefan Ludwig to Dipl.-Ing Anselm Karl during 2014. In the considered scenarios, the RF signal propagates from the base station over several different paths, caused by physical scattering, reflection and diffraction effects to a mobile receiver and interferes at its antenna. Communication to fast mobile receivers (like on a missile) results in large Doppler shifts of the carrier frequency, which are not constant over all paths in general because of the paths´ different angels of arrival. The interference of the paths leads to rapidly varying reception levels. This effect is called fast fading in general and the channel is said to be doubly selective (in time and frequency). Because of the high time-variance of the channel, the classic approach of block fading (assuming the channel to be nearly constant over a block of several symbols) does not work. The main fields of interest within our research are: Under a peak power constraint, determine the non-coherent capacity of doubly selective fading channels and how to achieve that capacity System design that exploit the inherent time and frequency diversity of doubly selective fading channels Algorithms for jointly estimating the channel scattering function and detecting Channel coding and spreading in the frequency domain, in general how to optimally use the quiescent bandwidth spread Find possibilities of quickly and efficiently testing new algorithms In the course of the project a prototype of a data link has already been established. It is based on an XILINX FPGA and proprietary RF board. In order to test new concepts faster (by skipping the FPGA integration process) we are developing a system in which as many as possibly components are software implemented and which is based on low-cost commercial components. The basic features have already been implemented. The system can be used for channel sounding as well. In 2014 the existing system is to be extended by a RAKE receiver together with the project partner. The rake receiver is a common approach to use the signal energy from different signal paths in spread spectrum systems. For coherent modulation schemes the rake receiver is well described in the literature. When using incoherent modulation (as used in existing link) it should be possibly to also use the concept of an RAKE receiver. In the existing link available bandwidth was mainly invested in a high code rate and only very moderate in DSSS. In addition spreading sequences are used, which are much longer than one symbol (long spreading), because these offer better protection against eavesdropping and spoofing. To allow a separation of the individual paths´ components of the received signal with little cross talk (which is vital for the performance of the RAKE receiver), partial spreading sequences (part of the sequence per symbol) with little cross correlation and little autocorrelation (at other delays than zero) have to be used. Sequences for long spreading (f.i. PRN sequences) are not optimized regarding (partial) acf and ccf. So tradeoffs between security and performance and between code rate and spreading rate have to be found. Doubly selective fading channel / RAKE receiver. 37 Modeling and Measurement of Oscillator Phase Noise and its Impact on Communications Systems Michael Nebel In nearly every communications system, a local oscillator is used for the up-conversion of the signal to be sent at the transmitter and for its down-conversion to base-band at the receiver. Existing models of the noisy oscillator circuit are used and also enhanced in order to describe the oscillator's impact on the performance of the system correctly. Therefore, a measurement system for phase noise based on the method of cross-correlation was built. The next step is to optimize modern oscillator circuits according to the theoretical results such that the degradation of the system due to phase noise is minimized. This is also to be evaluated by measurement. The local oscillator both at the transmitter and at the receiver can be a major problem if its spectral purity is not sufficient. In practice, the oscillator's output signal is varying in a characteristic manner which can be roughly classified in slow changes of its frequency and fast variations of its phase. In many systems, the slow variations can be mitigated by the receiver (by phased-lock-loop f.ex.) whereas the fast disruptions lead to a worse receive quality which manifests itself in a decreased bit error rate. Traditionally, the behavior of a noisy oscillator circuit is described using a stationary linear model (published by Leeson) which had later been extended to a timevariant but also linear model by Lee and Hajimiri. However, we favor prefer the non-linear theory developed by Kaertner and Demir which has been shown to produce more reliable and much more detailed prognosis on an oscillating circuit's phase noise characteristics. They are mainly based on a realistic modeling of both the oscillator circuit's noise sources and the spectral noise-to-phase noise conversion. However, this theory concentrates only on the oscillator's output signal without considering the usage of the oscillator as part of a system, for example as a local oscillator within a communications receiver. We argue that the charac- Figure 1: the circuit diagram of the system measuring an oscillator's phase noise (i.e. the device-under-test (DUT)) by cross-correlation is shown on the left. The DUT's output signal is mixed down to baseband using two independent reference oscillators REF1 and REF2 synchronized to the DUT by phaselocked-loops. The result is digitized and the impact of the reference oscillators is canceled by cross-correlation. 38 teristics of the frequency mixer basically causes the phase noise and the amplitude noise within the oscillator's output signal to be mixed up: thus, the phase noise process showing up in the receiver's constellation diagram (i.e. digitally modulated signals are considered) is a combination of the original phase and of the original amplitude of the oscillator output. The validity of this point could be shown for a mathematical oscillator model. Furthermore, a system for the measurement of phase noise in oscillators was realized whose layout is shown in figure 1. It consists of two identical measurement branches A and B. In each of them, the signal of the oscillator under test (i.e. whose phase noise is to be measured) is converted down to baseband where two reference oscillators REF1 and REF2 are used. Both DUT and reference oscillator have the same frequency and a phaselocked-loop ensures that their phase difference is 90°. Thus, in the phase detector, the amplitude noise component of both the DUT and the reference oscillator is suppressed. For this reason, the output signal should consist only of the phase noise of the DUT and of the reference oscillators. This result of both measurement branches is amplified and digitized and can subsequently be processed in a computer. Here, the two measurement signals are crosscorrelated which removes the phase noise originating from the reference oscillators. Thus, only the phase noise caused by the DUT shows up which is contained in both measured signals. The realization of this approach as a circuit made it necessary also to cope with several special issues, such as the extremely good isolation of both measurement brunches to avoid cross-talk between them. Multiple-Input Multiple-Output (MIMO) Data Transmission System Nora Tax MIMO transmission systems promise higher data rates and a better reliability for a given signal-to-noise ratio and a fixed bandwidth. The spectral efficiency of actual and future mobile communications systems can be significantly enhanced and the use of MIMO systems enables a significant power reduction at the transmitter of any communication system. Therefore, the improvement of the IEEE 802.11 Wireless Local Area Network (WLAN) standard (version IEEE 802.11-n) also includes the use of several antennas at both, the transmitter as well as the receiver. The challenge is the feasible implementation of an efficient MIMO detector for the separation of the spatially multiplexed data streams which is able to achieve a near maximum likelihood performance with a significantly reduced complexity. To exploit the advantages given by the use of MIMO transmission systems a good knowledge of the channel is highly required in order to select and improve the system components as well as the signal structure used for the transmission. Our special interest is directed towards in-room scenarios where we have no obstruction between the MIMO transmitter and the receiver. These scenarios are especially characterized by the presence of a strong Line-Of-Sight (LOS) component and a determi- Figure 1: Schnorr-Euchner enumeration with 64 QAM. nistic channel behavior. Treating the LOS channel model carefully, with respect to the nature of the wave propagation, a high bandwidth efficiency can be achieved. For further enhancing the data rates a higher bandwidth is needed, resulting in a frequency selective channel with multiple reflecting transmission paths. These requirements implicate additional considerations on the dimension of channel memory. Therefore we get a higher complexity for the decoder on the receiver side that can be reduced for example by performing the equalization in the frequency domain with orthogonal frequency division multiplexing (OFDM), where each subchannel can be considered as a flat MIMO channel. Another possibility is the use of single carrier frequency equalization (SC-FDE). The sphere decoder algorithm is based on a closest point search in the lattice with reduced complexity using the Schnorr-Euchner candidate enumeration strategy as shown in figure 1., but still with a variable effort depending on the channel conditions. The implementation of an efficient MIMO reduced search sphere decoder results in a near maximum likelihood performance with reduced and fixed effort. Based on an intelligent candidate selection strategy, determined according to pre-computed search set missing probabilities, the MIMO decoder outperforms some common fixed effort decoders and results in an efficient exploitation of the hardware resources. Some simulation results derived by our reduced search sphere decoder and our OFDM reduced search sphere decoder are depicted in figure 2. A true MIMO data transmission demonstrator with up to 4x4 antennas at a measurement bandwidth of 5 MHz where you can assume a nearly frequency flat channel has been developed fully synchronized. The data at the receiver is recorded and processed offline. The next-generation demonstrator should work on the basis of FPGAs to be able to operate and detect the data online and with a higher measurement bandwidth. Figure 2: Simulation results of reduced search effort decoders for sphere decoding in a 4x4 MIMO system with 64 QAM. 39 Narrowband VHF Tactical Communications Project partner: BAAINBw I6.1, Funkkommunikationssysteme Vito Dantona, Christian Hofmann Following modern advances in modulation and coding technologies and the requirements for interoperability between different national systems, the modulation schemes currently used for tactical communications in the VHF band (30-108 MHz) need to be replaced by more efficient techniques. Con- trary to legacy low-rate uncoded schemes, new adaptive techniques may offer scalable bit rates and elevate error protection, thus allowing a flexible trade-off between throughput and communication range in the narrowband 25 kHz channel. Continuous phase modulation (CPM) has been widely recognized as the most promising approach for this purpose, taking into account the requirement of power efficiency for field operation. Nevertheless, the actual choice of the waveform Figure 1: Block diagram of the SDR test equipment which was used for field tests. Figure 2: 3D visualization of a test drive in a mountainous scenario (near Garmisch, Bavaria). The transmitter is represented by the yellow triangle. The receiver locations for successfully decoded data blocks and block errors are denoted by blue and red symbols, respectively. As no channel equalizer was used, a lot of errors occur even in the vicinity of the transmitter due to multipath propagation. [Orthophotos: Bayerische Vermessungsverwaltung – www.geodaten.bayern.de]. 40 parameters within the category of CPM signals is still an open point. For instance, a choice between two -level and multilevel schemes must be drawn. Furthermore, the waveform design is strictly connected with the receiver complexity, which must be kept feasible, also taking into account impairments from realworld channels. A measurement setup based on the software defined radio (SDR) approach has been developed at our institute. Due to the flexible SDR approach, this equipment can be used for field tests of any CPM or linear modulation schemes, as long as the respective transmitter and receiver are implemented in software. A first test campaign conducted in the summer of 2013 in different real-world scenarios, such as urban, rural, hilly, mountainous and forested environments, at the carrier frequency of 60 MHz yielded important indications for the further optimization of the modulation schemes and the development of respective receivers, which must cope with impairments such as phase noise, multipath propagation (particularly in mountainous environments) and adjacent channel interference. Our current work focuses on the design of low-complexity receivers for multilevel CPM waveforms based on iterative decoding and robust receiver concepts towards the aforementioned impairments. Additionally a synchronization concept has to be developed, which is well adapted to the achieved receiver performance. The raw data collected during the first test campaign in the year 2013 will be used to validate the new advances, as long as the same waveforms are considered. At the same time, we are performing an optimization of the waveforms, which will require a new test campaign. MIMO and Time-Frequency Packing for Satellite Communications Funded by DFG Thomas Delamotte Spectrum efficiency is a major issue in satellite communications due to the increasing data rates requirements and the competition with terrestrial networks. Maintaining the competitiveness of such systems, where strong nonlinearities are present due to the use of high power amplifiers driven close to their saturation point for power efficiency, requests to explore new degrees of freedom. In our research, the space dimension, through the multiple-input-multipleoutput (MIMO) technology, and the frequency dimension, through timefrequency packing, are exploited. This paves the way for even more spectral efficient communications. The saturation of spectrum bands allocated to satellite communications and the need for power efficiency due to limited power resources in the transponders restrict the feasibility in a satellite system of many spectral efficient strategies encountered in terrestrial communication networks. One of the main issue is the presence of high power amplifiers (HPA) driven close to their saturation point. Even though the use of predistortion strategies can limit the resulting impairments, simply increasing the constellation size to improve the data rate, as done in the DVB-S2 standard, entails losses that could be avoided if only constant modulus constellations (e.g. QPSK) were used. In our works, we thus aim at exploiting other degrees of freedom than the constellation size to increase the spectral efficiency. These degrees of freedom are the space and frequency dimensions. The use of the spatial dimension is done by using the MIMO technology which consists in deploying several antennas at the transmitter and the receiver. Although a rich scattering environment is often assumed in MIMO terrestrial communications, the design of deterministic high rank MIMO channels based on a geometrical optimization of the transmit and receive antennas positions also allows to achieve maximum capacity in systems where strong line-of-sight (LOS) signal components are observed. With such an approach, increasing the constellation size can be avoided to improve the data rate. Further improvements can be expected by combining this MIMO technology with time-frequency packing. The time-packing strategy, also known as faster than Nyquist signaling, consists in setting the signaling rate below the Nyquist rate so as to make use of the excess bandwidth of practical pulse shaping filters. This nevertheless entails strong intersymbol interference and thus requires a more complex receiver design able to cope with this impairment. By additively reducing the spacing between adjacent channels in the context of multicarrier transmission, hence allowing the presence of some inter-carrier interference (ICI), some additional gains can be expected. This is known as frequency packing. Our research concentrates on the design of receivers for satellite systems using both the MIMO technology and time-frequency packing. These receivers are de- signed to mitigate space interference as well as the linear and nonlinear ISI respectively resulting from the use of time packing and the nonlinear distortions induced by the presence of HPAs. To reduce the memory of the channel model assumed to process the received signals, a channel shortening technique is applied which aims at prefiltering the received symbols. This reduces the number of channel taps that should be considered to get an accurate model of the processed symbols and thus reduce the complexity of the received algorithms. The determination of the channel shortening filter and the shortened channel is done such that the information rate of the system is maximized. The performance comparison of several strategies for a 2 x 2 MIMO system whose antennas configuration significantly differs from the one required to achieve maximum capacity is given in Figure 1. These results enlighten the superiority of these new approaches compared to state-of-the-art SISO strategies even when an optimal antenna arrangement is not possible. Figure 1: Achievable spectral efficiency with QPSK constellations, roll-off α = 0.2 and IBO = 3 dB. 41 Secure MIMO SATCOM Transmission Robert T. Schwarz, Andreas Knopp In our research activities we were able to find an approach for secure communications over geostationary satellites by means of the MultipleInput Multiple-Output (MIMO) technology with spatially distributed ground and satellite antennas. As a result of this approach, a possible eavesdropper (“Eve”) on earth cannot intercept confidential messages broadcasted by the MIMO satellite (“Alice”), even if the eavesdropper’s antennas are positioned within the same coverage area as the own ground station antennas (“Bob”). Secure MIMO SATCOM transmission is achieved if the channel capacity is higher between the satellite and the own ground station (the channel between Alice and Bob) than between the satellite and the interceptor’s ground station (the channel between Alice and Eve). As a consequence, information theory says that it is impossible for an eavesdropper to recover the intercepted messages if the information transmission rate of the link is higher than its channel capacity. We have filed for a patent about our application which has finally been granted in November 2013 [1]. Afterwards, we have presented our results at the last year’s Military Communications Conference, MILCOM, 2013 in San Diego [2], which is a well renowned platform for topics on security critical communications. Keywords: Information Security, MIMO, Satellite Communications, Eavesdropping Multiple Input - Multiple Output (MIMO) transmission systems have been known to provide increased bandwidth efficiency and data rates due to spatial multiplexing with 42 multiple antennas. Obeying some practical rules and constraints, MIMO can be used to increase the channel capacity linearly with the number of antennas used at the transmitter (Tx) and receiver (Rx) also in fixed satellite services (FSS) applications. A linear increase and therewith the maximum channel capacity can only be obtained with particular antenna constellations and arrangements due to the well-known eigenvalue properties of a Line-of-Sight (LOS) MIMO channel. Choosing the wrong antenna arrangement therefore results in a reduced MIMO channel capacity. This fact is very often looked upon as a disadvantage of MIMO SATCOM since the flexibility in ground station design with respect to the antenna positioning and displacement is limited. From the perspective of transmission security, the properties of the MIMO channel capacity in SATCOM can be excellently used for the design of satellite downlinks that combine optimum channel capacity between Alice and Bob with strong transmission security. In order to achieve these beneficial effects, distinct locations on earth are selected where maximum channel capacity can be accessed, at the same time limiting the channel capacity achievable at all the remaining locations within Alice's footprint. Eavesdropping is then effectively prevented because Eve will not be able to recover the information even if no end-to-end data encryption is applied. Hence, data rate reduction, which is the main disadvantage of most encryption schemes, can be totally avoided. 1. Bob has to find an optimal antenna configuration of his ground terminal antennas in relation to the antenna configuration of Alice. As a consequence, the channel between Alice and Bob offers the maximum multiplexing gain. 2. The satellite antennas are presumably spot beams with small coverage zones which overlap each other to form a limited geographical area on earth where the maximum power flux density (PFD) is obtained from all satellite antennas simultaneously. 3. This limited geographical area should be large enough – which may be a country for example protected by boarders – to find an optimal antenna configuration and have to be protected against a possible enemy intruder. Outside this limited geographical area it is impossible for Eve to obtain the same channel capacity as that of the channel between Alice and Bob even if also Eve has found an optimal antenna configuration and, thus, the channel between Alice and Eve offers maximum multiplexing gain as well. The capacity degradation for Eve is achieved by means of a loss in the receive signal power because of the position-dependent PFD on earth and, therefore, a lower signal -to-noise ratio (SNR) at Eve’s receiver. This effect is illustrated in fig. 1 and will be explained in the following. It is well-known, that the coverage of a satellite antenna on earth (also called “footprint”) is generally limited to a specific geographical region where the shape of the footprint is mainly a function of antenna dish size, dish shaping, orbit position of the satellite and viewing angle of the satellite antenna towards the earth. An example of a typical footprint is shown on the left of fig. 1 with the center of coverage (CoC) of the satellite spot beam antenna approximately at the north of Italy. The contour-lines refer to a particular value of receive PFD. For simplicity in terms of graphical illustration but w.l.o.g. the coverage map shows constant PFD values between the contour lines where the maximum PFD of -110 dBW/m² can be obtain in the vicinity of the CoC. In this example the spot beam antenna provides a 3 dB and 6 dB coverage zone with approximately 600 km and 1000 km in diameter, respectively. The footprint of the second satellite antenna from Alice has to overlap the footprint of the first antenna in order to obtain a limited geographical area where maximum PFD can be received from both satellite antennas simultaneously. Bob places his receive antennas within this area and protects this limited region against a possible intruder. The second aspect of this approach is the fact, that distinct inter antenna spacing at the ground and in the orbit are required for a maximum MIMO channel capacity in satellite applications for FSS with LOS channels. The right hand side of fig. 1 shows the MIMO bandwidth efficiency as a function of the inter antenna spacing on earth (blue curve of the plot). In this simulation example the inter antenna spacing of Alice’s satellite antennas are 6 m resulting in a minimum and optimal inter antenna spacing of Bob’s ground terminal antennas of about 100 km. From fig. 1 it becomes clear that this optimum inter antenna spacing is periodic; a second optimum distance can be obtain at approximately 300 km. The red curve additionally considers the positiondependent PFD on earth due to the beam patterns of the satellite antennas. In this simulation example the CoC can be achieved at the position 0 km at x-axis. The red curve shows that with larger distance from the CoC the channel capacity degrades because of SNR reductions. If the link between Alice and Bob provides an information transmission rate (in Bit/s) which is larger than the channel capacity between Alice and Eve, finally a bug-proof satellite connection is achieved. In the course of our research work we have also analyzed strategies for Eve to mitigate the loss in channel capacity. For Eve there are mainly two possible approaches available: At first, Eve could employ higher receive antenna gain in order to enhance the receive signal-to-noise ratio. The second approach requires a higher number of receive antennas for the enhancement of the channel capacity. However, in [2] we have shown that it is comparably easy for Alice and Bob to implement countermeasures for both of Eve’s strategies as long as Bob himself must use sufficiently large antennas in order to get the minimum signal-to-noise ratio that is required for transmission at the desired rate. In this case Eve would be forced to implement even larger dish sizes which goes along with a significant infrastructural effort for antenna dishes, antenna mounts and antenna pointing mechanisms. If in addition Eve was then forced to implement a huge number of such complex receive antennas, say tens of even hundreds, it would quickly become obvious that eveasdropping cannot be accomplished in a sensible way. Therefore, the bug-proof satellite link based on the presented principles of information theory finally does not try to realize an unbreakably secure link. Moreover, the idea is based on the approach to increase the effort to be spent by the intruder up to an unbearable level. However, in difference to other approaches, in our case the term complexity does not address computational complexity but is related to receiver infrastructure, particularly highly complex and costly antenna mounts. [1] A. Knopp, R. Schwarz, and B. Lankl, “Verfahren und Einrichtung zur MIMO-Datenübertragung mit einer Höhenplattform, German Patent 10 2013 000 903, Nov. 28, 2013. [Online]. Available: https://register.dpma.de/ DPMAregister/pat/register? AKZ=1020130009030 [2] Knopp, A.; Schwarz, R.T.; Lankl, B., "Secure MIMO SATCOM Transmission", Military Communications Conference, MILCOM 2013 - 2013 IEEE, pp.284-288, 18-20 Nov. 2013, doi: 10.1109/MILCOM.2013.56 Figure 1: Channel capacity as a function of the inter antenna distance and additionally the position dependent receive power flux density on earth. 43 Information Processing in the Human Motor System: Coordination of Cyclic and Discrete Movements Gerhard Staude Human movement control requires coordination of different motor tasks but actually, there is no direct access to observe the control mechanisms of the human motor system. However, sometimes they manifest themselves in the external world as a striking phenomenon of abnormal movement in patients suffering from motor disorders, or, less spectacular as a characteristic property of observable variables during normal movement (e.g., a trajectory of the limb in the space, a discharge pattern in the electromyogram (EMG) of a muscle). In these cases, analysis of the observable electrophysiological and biomechanical variables frequently allows for infering on the underlying internal mechanism. A phenomenon frequently observed in human movement generation is rhythmic motor activity (e.g., tremor). In this project, we investigate the impact of rhythmic motor activity (of either pathological or physiological origin) on the initiation of rapid voluntary movements and vice versa. In cooperation with clinical and research partners, the problem is addressed for the special example of simultaneously executed rhythmic and discrete finger movements (bimanual tapping). Subjects are required to perform rhythmic constant-rate finger tapping movements by one hand while simultaneously responding as quickly as possible to some imperative stimulus (go-signal) by a single discrete tap of the other hand (Fig. 1). Both motor tasks cannot be performed independently but will interact in various forms: Some subjects tend to restart the rhythmic pattern together with the discrete tap. Other subjects tend to delay the discrete tap in order to move in phase with the cyclic task. Most frequently, both motor tasks mutually affect each other resulting in a variety of different movement patterns. Interaction of discrete and cyclic motor tasks is frequently analyzed by construction of phase resetting curves (PRCs). Tapping events are aligned by some reference event (usually the last periodic tap preceding the discrete tap) and plotted versus the locus of the discrete tap within a cycle of the rhythmic movement (Fig. 2). However, biological uncertainties like the variability of intertap intervals and reaction times together with the cyclic nature of the observed process make the evaluation of PRC diagrams difficult with an inherent danger of misinterpretation. In the current framework, therefore, a model-based approach is applied instead. Human tapping behaviour is modelled by nonlinear oscillators mutually coupled by weak perturbation forces (Fig. 3). As a particular feature of this socalled “Simple-Clock Tapping Model”, small changes in model parameters may lead to dramatic changes in observable motor behaviour. Moreover, various motor “strategies” can be described by a single model structure and characterized by a distinct set of few characteristic parameters. Developing reliable and unbiased estimators of the internal variables associated with a particular coordination pattern is a key issue of this project. Figure 1: tapping experiment Figure 2: phase resetting curve (PRC) Figure 3: simple-clock tapping model Using a smart phone, driving a car, playing tennis, or performing piano – most of human everyday motor activities require interlimb motor coordination. But we all know that performing two or more tasks simultaneously is often difficult, let them be either mental or motor tasks. And even for very simple movements, we rapidly may end up at our limits. Where do these limits come from? What can they tell us about the organization of the human sensorimotor system? This project tries to shed some light upon the mechanisms of human multitasking by using a psychophysiologically inspired modelbased approach. Keywords: Human Motor Coordination, Modelling, Coupled Nonlinear Oscillators, Tapping Experiment 44 Improved Balance Capabilities after Intervention on the Motor-Balance-Board (MBB) Projectpartner: German Air Force Center for Aerospace Medicine Miriam Ködderitzsch-Frank Coordination and balance are essential compounds of a pilot’s success in his or her career out of a medical and sport scientific perspective. The purpose of this study is to investigate the effects of special balance training on the coordination system. For example the eye-hand-coordination, the ability of prediction and as investigated in this study the pilot’s balance capabilities help the pilot to decide correctly in a very short time. Due to a special training it is also possible to improve attention and reaction time. To register important information and to solve problems easily the stop and go signals for movements need to be under control. Reaction time and task switching are in focus which can be improved by 30% via special training. Data for this research were collected on the MFT Board, a device which offers different balance challenges. People have to follow instructions on a screen like standing still or following a certain motion. The subjects were randomly selected and divided into 3 groups: training, short intervention and control group. They had to solve 3 tests: 1.) an initial general balance test (T1), 2.) after training intervention on the motor-balance-board (T2) and 3.) after prostration (100 squad jumps; T3). The results suggest that subjects who are influenced over 3 weeks and more by a special coordination training show better results in balance and fatigue resistance. They perform better while working in a group and are used to the bal- Figure 1: Motor-Balance-Board (MBB) ance effects. So they improve their motor skills whenever they stand on the MBB. It also supports the assumption that a short practice (min. 20 minutes on the MBB) changes the proprioceptive system. For pilots it can be important to improve the fatigue system to stay alert and clear to get necessary information and to feel their real position in the aeroplane. Through specialized training it can be achieved that disorientation gets influenced in a positive way because of better coordination and improved pilot’s reactions, movements and decision making. What were the topic psychological effects? For example in a questionnaire subjects in the training group showed that health is more important than in the other groups. In the training group subjects think that health and physical appearance are more important than in the other two groups, also prevention is a big theme for them. People who do nearly no regular sport in average not know how to achieve healthy lifestyle because they do not see prevention programs as a main issue. Referring to public health the training group shows the highest perceptive correlation between health an prevention. Reasons could be the health education they received as well as experienced health benefits of par- ticipating in sports. The same applies to attractiveness. Regarding balance performance the results differ from hypotheses. All three groups improved. But the learning effects shown in the control group had an interesting impact. So on one hand the challenge disc and the learning effect had a too big influence on balance. On the other hand the prostration time of the intervention group was too short, since most of the participants could not handle 100 squad jumps and finished earlier. The diagram shows that the intervention group improved constantly but in average they could not finish the prostration task. The training in comparison didn’t have the effects we expected. That could be a hint, the focus should lie on balance and not in an overall training concept. After all the data drawn from the current study design has to be interpreted with caution. After getting rid of some design related weaknesses more research has to be done on the subject of balance, since this certainly is a field of high applicability for pilots in their daily routine in the cockpit. Figure 2: Progress T1 to T3, effect of MBB on balance capabilities. 45 A 3-comonent model of the control error in manual tracking of continuous signals Hans Gerisch, Werner Wolf The performance of human operators acting within closed-loop control systems is investigated in a classic tracking task using a handheld joystick. The dependence of the control error on the parameters ‘display gain’ and ‘input signal frequency bandwidth’ is investigated with the aim of functionally specifying it via a model. Driving a car, operating a construction machine, navigating a ship, or piloting an airplane – these are all typical cases in which the human operator is an integral component of the overall control system. Thus, human control contribution is essential for the overall performance, and, consequently, an appropriate human-machine-interface design represents a key-factor for optimal human-machine-cooperation. Basically, control performance of a human operator and his capability of visuomotor adaptation in a tracking experiment (Fig.1) are usually evaluated by analysing the control error and the control delay, both representing time domain parameters. Another way to describe human tracking behaviour is given by frequency domain analysis: The operator is modelled as the controller within a feedback loop, and the controller is characterized by a spectral transfer function. This approach is used by the so-called McRuer Crossover Model originally applied in the design of aircraft control systems. This model allows one to distinguish between various styles of tracking behaviour that cannot be discriminated simply by the mean control error. Certainly, the Crossover Model inspired an in-depth global analysis of tracking behaviour mainly focussed on stability of the control loop, but these efforts did not further detail different components contributing to the resulting control error. The present investigation focuses on specifying the control error sources. The following novel 3-component model of control error is hypothesized: The overall control error represents the sum of (i) the delay-induced component, (ii) the demand-based component for the control processing (which is determined by accuracy tradeoffs of the human operator in general), and (iii) the human-tracking-limit component (i.e. the operator simply does not try to track when the input signal dynamics exceeds an upper frequency limit fcrit). This human- Figure 1: Manual tracking of continuous input signals. 46 tracking-limit component is certainly determined by individual factors, however, it is also dependent on the kind of the input signal: fcrit is constrained by the randomness of the input signal, thus fcrit will be higher for tracking a single (predictable) sine wave. This hypothetical error model for tracking tasks is tested by using noise input signals of different upper frequency boundaries and different display gains: participants have to compensate a target line displacement on a classical display by an inverse joystick displacement. Data of the experiment fit to previous findings on human tracking behaviour; in particular, the results reaffirm that the transfer function of the human tracking control-loop is limited to approximately 1 Hz, which is also in line with the reported Nyquist frequency of around 1 Hz based on the Crossover Model. First and foremost, however, the data lend support to the hypothetical 3-component error model and lead to the assumption that the unpredictable signals effectively tracked by human operators are of a bandwidth that is less than fcrit where 0.8 Hz < fcrit ≤ 1.2 Hz. The questions of whether this limitation can generally be shifted through training, or if predictable signals (e.g., while steering a car along a wide curve) can be better tracked due to reduced control delays are left open as further topics of upcoming research. Another important question for application is whether “overload-information” (i.e. spectrum > 0.8 Hz) leads per se to a longer control delay due to the additional cognitive load and, consequently, to reduced tracking performance; if so, the information presented to the operator should be restricted to the useful frequency range by an appropriate filtering. Adaptive Interference Cancelation in Abdominal Signals for Fetal Monitoring Project partner: Universitatea Politehnica din Buburești, Romania Bogdan Hurezeanu, Dragoș Țarălungă, Mihaela Ungureanu, Werner Wolf Biosignals mostly show large disturbances by multiple other physiological signals as well as by induced components from the environment like the power line interference. Therefore, removal of disturbances from the signal of interest represents a classical issue in biosignal processing like it does in communication engineering and in measurement and control engineering. This project specifically focuses on the extraction of the fetal electrocardiogram (fECG) from the maternal abdominal signals for fetal health monitoring. In particular, complex methods like Independent Component Analysis (ICA) and Periodic Component Analysis (πCA) are considered. Keywords: Interference cancelation, fetal monitoring, abdominal signals, biosignal processing Fetal monitoring during pregnancy is an important measure for the fetal well-being. Fetal monitoring methods have been improved during the last years, by using different solutions to obtain biological signals that lead to fetal information. The abdominal signal (ADS) which is obtained by placing electrodes on the maternal abdomen represents an alternative to the actual clinical methods like cardiotocography (ultrasonic Doppler principle) used for fetal monitoring. The ADS contains several signal components, among them the fetal electrocardiogram (fECG). The advantages of abdominal fECG over the methods used nowadays in hospitals are: i) it is noninvasive; ii) it offers both the fetal heart rate Figure 1: Single channel abdominal signal recording from a pregnant woman. Examples of the fetal heart beats are marked by the f arrows, the mother’s heart beat by m arrows. (fHR) and the morphology of the fECG signal; iii) it can be used for long term monitoring; iv) it offers, besides the fECG signal, the uterine contractions, the electrohisterogram signal (EHG), and the breathing rhythm. The fHR and the fECG morphology analysis are two of the most important tools used nowadays in clinical investigations, to examine the health state of the fetus during pregnancy. The fHR is the mostly used parameter in fetal monitoring, since 1818. While a normal fHR shows a predictive value of almost 99% for the fetal well-being, an abnormal fHR, however, has a predictive value of only 50%. Hence, it provides relatively poor specificity in detecting the fetal distress. Additional information about the fetal well-being can be obtained by analyzing the ECG morphology, which was recently introduced in clinical practice for fetal monitoring. In particular, the ST waveform analysis of the fECG leads to the reduction in the number of operative vaginal deliveries, smaller rate of metabolic acidosis at birth, less blood samples performed during labor and fetal morbidity reduction. The fHR is derived from the fECG which is also not directly accessible, thus is has to extracted from the recorded ADS of the mother. The fECG component of the ADS, however, is very weak (Figure 1) due to the attenuation caused by the propagation through multiple biological layers. Moreover, the fECG is corrupted by strong interferences such as, e.g., the electrocardiogram of the mother (mECG), electrode artefacts due to breathing movements, uterine contractions, power line interference (PLI), and the electromyogram (EMG) due to abdominal muscle contractions. In addition, the quality of the fECG extraction is strongly de- pendent on the configuration of the electrodes. Thus, the signal-tonoise-ratio regarding the fECG/ mECG signals can be much improved just by optimally placing the electrodes and fusing their information. However, there are no standards or guidelines available in literature that discuss the best way in which the electrodes should be positioned (Figure 2) or which type of recordings should be used (bipolar or unipolar). Also, several fECG extraction algorithm were proposed, but none does include a priori information from the electrode configuration geometry. In this research project, performed together with the Politechnic University of Bucharest, theoretical considerations about propagation of the fECG within the tissue volume are performed to establish a tissue transfer function which can be used as a priori information when fusing the signals of the different recording channels by algorithms like the Independent Component analysis. For suppression of the main disturbing component, the PLI, different algorithms like the Event Synchronous Canceller (ESC) and the Periodic Component Analysis are successfully investigated. Figure 2: Laplacian electrode configuration which allows shaping of the sensitivity characteristics on the fetal heart. Also, the information from the electrode configuration geometry can be used in data fusion. 47 Human-Machine-Interaction: the Human Operator Behavior in a Control Loop with Manual Tracking of Continuous Random Signals Werner Wolf, Hans Gerisch, Gerhard Staude A basic concept in communication technology is to describe a system as black box by a given inputoutput-relationship. This concept can also be applied to a human operator being an element of a cascaded human-machine-controlsystem (e.g., car driving). Under the viewpoint to design optimal systems with both human and machine integrated, the knowledge of the human operator behavior given by an abstract model is required in order to adapt the technical components accordingly. Analysis of the human operator behavior in a tracking task is investigated using either a hand-held joystick or a steering wheel of a car cockpit. Results of these interdisciplinary investigations clearly indicate that the transfer function of humans declines above 0.5 Hz and tends to zero around 1.0 Hz. Keywords: Tracking performance, human-machine-interaction, human operator. Mostly for legal reasons, the human operator will not be eliminated from a control loop, even if equivalent technical solutions are available (e.g., auto-piloting in airplanes); usually, emergency situations are the crucial points. Thus, the human operator remains an integral component of the overall control-system, and, consequently, the human-machine-interface design represents a key-factor for human-machine-cooperation. It is not surprising that human performance in executing control tasks within control-systems is an intensively investigated topic. It was mainly studied in tracking of a visual target with a hand operated cursor as well as in smooth pursuit eye movements when the gaze follows a moving target. In these cases, tracking is basically determined by the collaboration between the sensory (visual) perception of the target and the motor realization of the reaction. In case of periodic (repetitive) target movements, subjects also (unconsciously) exploit the possibility to predict the target movement using an internal expectancy model of the target position; this was investigated using smooth Figure 1: On top, details of the setup are shown: the left panel shows the tracking stimulus arrangement, on the right the bimanual control of the steering wheel is depicted. Below, an example of the pseudo noise deflection signal (bandwidth 0.4 Hz) is depicted, on the right, deflection (red line) and the counteracting steering (blue line) signals are displayed on a magnified abscissa. 48 pursuit eye movements, but was rarely analyzed in manual tracking. In this research project, the experimental setup realizes the tracking task by displaying a vertically orientated line (laser source) on a screen, where a dark vertical bar indicates the zero position. The laser is fixed to the shaft of a servomotor allowing the line being displaced horizontally, controlled by a deflection signal with a bandwidth up to 5 Hz. The operator’s task is to keep the line in the zero position by counteracting movements of the steering wheel and the joystick, respectively. Fig.1 depicts the screen situation on top of the left with showing below the pseudo noise deflection signal. In the display on the lower right, the control performance can be estimated by comparing the deflection signal (red line) with the counteracting steering signal (blue line, sign is inverted for better comparison). (Note the different time scales in both plots.) Basically, control performance of a human operator is usually evaluated with the control-error und the control-delay. Large values of both factors signal system performance limits; interestingly, an increase in the control-delay implicitly causes an increase of the control-error average in most conditions, too. In order to determine the limits of the operator performance, the bandwidth of the pseudo noise signal is varied between 0.2 Hz and 1.2 Hz. Results show that the tracking performance declines above 0.5 Hz and, finally, tends to zero around 1.0 Hz. Future research will include eye movement recording in order to check whether their occurrence influences the tracking performance due to the parallel execution of two motor tasks (i.e. hand and eye). As well, additional eye blink and electrocardiogram registration will allow to assess stress aspects. Motor Control in Humans: Motor Coordination in Multitasking Werner Wolf, Gerhard Staude, Archil Kezeli1, Mihai Tarata2 Motor coordination is the most important process of a moving subject equipped with multiple joints and limbs, thus basic research in this field shows a long tradition but is enforced by the advances in robotics - autonomic robots must find their way like an “autonomous” human. In particular, the human behavior is multidimensional (e.g. talking during walking, pedal activation during steering in driving, cogitating about plans during listening to music, etc), thus the brain information processing which also controls the motor behavior must either show a parallel structure, or, in case of a single processing path, sequential concepts like timesharing. This general issue is interdisciplinary focused to human motor multitasking (i.e. performing several actions at the same time) in healthy people and patients with central brain disorders. The aim of this research is to develop an abstract model for the human motor behavior which describes the inputoutput-relationship for the human as an operator. Keywords: Motor Control, Multitasking, Biosignal Processing, Human-Machine-Interface, brain disorders A fascinating example of multitasking is the one-man-band - this musical tradition demonstrates the amazing capability of humans to execute several parallel actions with reliable spatio-temporal accuracy, which requires a high degree motor coordination between different effectors. The coordinative process is so naturally governed by the central nervous system that many of our daily multi-tasking activities seem to be effortless and easy. However, while musicians are trained to perform more than one task simultaneously, normal individuals dealing with some dualor multi-tasking are usually troubled; e.g., bimanual interference is found when two manual tasks are conducted concurrently. Dual-task costs (i.e., decreased performance in comparison to isolated execution of the tasks) were found not only in bimanual but also in other dualtask combinations. Favoring a serial organization of sensorimotor transformation stages (perception, cognition and action) within a single channel, some researchers attributed dual-task costs to a central bottleneck at the responseselection stage, which is assumed to be generic, whereas others addressed the limitations of strategic allocation of the central resources. Single-task and dual-task tapping is employed as experimental technique (Fig.1). The paradigm used focuses on the coordination of a periodic motor activity (like walking) with randomly interspersed discrete actions (like pressing a button in response to a stimulus). These two quite distinct motor actions let expect to be independently executed but in fact they show interactions in specific situations (see PhD thesis Cong Khac Dung). Progress with respect of the last activity report concerns both the extension of the experimental setup to include foot tapping as well as different kinds of sensory stimulations (3d-sound, colored patches, etc) and the improvement of the evaluation scripts (written in Matlab), thus more detailed analyses can be started now. This research started as a project of the DFG Excellence Cluster “Cognition for Technical Systems” at the Technical University Munich, addressing the problem of manmachine-cooperation. After closure of this funding resource, the project is continued as basic research in biomedical information processing and extended to include Prof. Kezeli (schizophrenia, depression) and Prof. Tarata (central motor disorders) in order to integrate clinical aspects. Therefore, duplicates of the setup are now available at the cooperation partners in Georgia and Romania. 1 Institute of Cognitive Neurosciencies, Agricultural University of Georgia, Tbilisi 2 Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy, Craiova, Romania Fig. 1 Hand-foot-tapping setup for investigations in motor coordination. Also, voluntary saccadic eye movements are included as motor responses. 49 6.1 Journal Papers Inan, B.; Spinnler, B.; Ferreira, F.; van den Borne, D.; Lobato, A.; Adhikari, S.; Sleiffer, V.A.J.M.; Kuschnerov, M.; Hanik, N.; Jansen, S.L.: DSP complexity of mode-division multiplexed receivers. Optics Express, Vol.20, No.10, pp. 10859-10869, May 7, 2012. 6.1 Journal Papers 6.2 Conference Papers 6.3 Presentations Lobato, A.; Ferreira, F.; Kuschnerov, M.; van den Borne, D.; Jansen, S.L.; Napoli, A.; Spinnler, B.; Lankl, B.: Impact of Mode Coupling on the Mode-Dependent Loss Tolerance in Few-Mode Fiber Transmission. Optics Express, Vol. 20, No.28, pp. 29776-29783, December 31, 2012. 6.4 Ph.D. Thesis 6.5 Patent Applications Hauske, F. N.; Qi, J.; Zhao, Y.; Xie, C.; Stojanovic, N.; Pflüger, D.; Bauch, G.: On the Mitigation of the Differential Decoding Penalty in 100G PDM-QPSK Digital Coherent Receivers for Multirate WDM Transmission. IEEE Photonics Technology Letters, Vol.24, No.6, pp. 428-430, March, 2012. Wu, Z.; Schmidt, D.; Lankl, B.: Modulation-format-transparent polarization tracking using a neural network. IEEE Photonics Technology Letters, Vol.25, No.7, pp. 671-674, April, 2013. Lobato, A.; Ferreira, F.; Inan, B.; Napoli, A.; Spinnler, B.; Lankl, B.: in Few-Mode Fiber Transmission IEEE Photonics Technology Letters, June 15, 2013. Adhikari, S.; Kuschnerov, M.; Maximum-Likelihood Detection With Mode-Dependent Loss. Vol.25, No.12, pp. 1095-1098, Ferreira, F.; Fonseca, D.; Lobato, A.; Inan, B.; Silva, H.: Reach Improvement of Mode Division Multiplexed Systems Using Fiber Splices. IEEE Photonics Technology Letters, Vol.25, No.12, pp. 1091-1094, June 15, 2013. Gerisch, H.; Staude, G.; Wolf, W.: A Three-Component Model of the Control Error in Manual Tracking of Continous Random Signals. The Journal of the Human Factors and Ergonomics Soctiey, Vol.55, No.5, pp. 985-1000, October, 2013. Tarata, M.; Wolf, W.; Georgescu, D.; Alexandru, D.; Serbanescu, M.: Comparison of SEMG Derived Parameters and Blood Oxygen Saturation in Monitoring Neuromuscular Fatigue in Humans. International Journal of Monitoring and Surveillance Technologies Research, Vol.1, No.4, pp. 9-19, October-December, 2013 51 Leoni, P.; Calabrò, S.; Lankl, B.: Constellation Expansion for 100G Transmission. IEEE Photonics Technology Letters (PTL), Vol.25, No.19, pp. 1904-1907, October 1, 2013. Chen, H.; Sleiffer, V.A.J.M.; Huijskens, F.M.; van Uden, R.G.H.; Okonkwo, C.M.; Leoni, P.; Kuschnerov, M.; Grüner-Nielsen, L.; Sun, Y.; de Waardt, H.; Koonen, A.M.J.: Employing prism-based 3-spot mode couplers for high capacity MDM/WDM transmission. IEEE Photonics Technology Letters (PTL), Vol.25, No.24, pp. 2474-2477, December 15, 2013. Sleiffer, V.A.J.M.; Chen, H.; Jung, Y.; Leoni, P.; Kuschnerov, M.; Simperler, A.; Fabian, H.; Schuh, H.; Kub, F.; Richardson, D.J.; Alam, S.U.; Grüner-Nielsen, L.; Sun, Y.; Koonen, A.M.J.; de Waardt, H.: Field demonstration of mode-division multiplexing upgrade scenarios on commercial networks. Optics Express (OE), Vol.21, No.25, pp. 31036-31046, December 16, 2013. Sleiffer, V.A.J.M.; Leoni, P.; Jung, Y.; Surof, J.; Kuschnerov, M.; Veljanovski, V.; Alam, S.U.; Richardson, D.J.; Grüner-Nielsen, L.; Sun, Y.; Corbett, B.; Winfield, R.; Calabrò, S.; de Waardt, H.: 20 x 960-Gb/s Spacedivision-multiplexed 32QAM transmission over 60 km few-mode fiber. Optics Express (OE), Vol.22, No.1, pp. 749-755, January 13, 2014. Ţarălungă, D.D.; Ungureanu G.M.; Gussi, I.; Strungaru, R.; Wolf, W.: Fetal ECG Extraction from Abdominal Signals: A Review on Suppression of Fundamental Power Line Interference Component and Its Harmonics. Computational and Mathematical Methods in Medicine, Vol.2014, p. 15, February 9, 2014. Leoni, P.; Calabrò, S.; Lankl, B.: Constellation Expansion for Differentially Encoded 100G Transmission. IEEE Photonics Technology Letters (PTL), Vol.26, No.11, pp. 1142-1145, June 1, 2014. 6.2 Conference Papers Ţarălungă, D.; Strungaru, R.; Ungureanu, M.; Wolf, W.: Abdominal signals: Different Concepts for Reliable fECG Recordings. University Politehnica of Bucharest Scientific Bulletin, Series C, Vol.74, No.3, 2012 Pflueger, D.; Bauch, G.; Hauske, F. N.; Zhao, Y.; Qi, J.; Xie, C.: Analysis and Modeling of Phase Noise for Verification and Optimization of Soft- Decision FEC. Photonische Netze - 13. ITG-Fachtagung, Leipzig, Germany, May 7-8, 2012. Adhikari, S.; Kuschnerov, M.; Jansen, S.L.; Lobato, A.; Gaete, O.; Inan, B.; Rosenkranz, W.: Spectral Shaping on DFT-OFDM for Higher Transmission Reach. Advanced Photonics Congress, paper SpTu2A.3, Colorado Springs, USA, June 17-21, 2012. Leoni, P.; Sleiffer, V.A.J.M.; Calabrò, S; Kuschnerov, M; Jansen, S.L.; Spinnler, B.; Lankl, B.: On the Performance of a Soft Decision FEC Scheme Operating in Highly Non-Linear Regime. Signal Processing in Photonic Communications (SPPCom), paper SpTu3A.6, Colorado Springs, USA, June 19-21, 2012. Inan, B.; Spinnler, B.; Van den Borne, D.; Ferreira, F.; Lobato, A.; Adhikari, S.; Sleiffer, V.; Hanik, N.; Jansen, S.: Equalizer Complexity of Mode- 52 Division Multiplexed Coherent Receivers. 14th International Conference on Transparent Optical Networks (ICTON), Coventry, United Kingdom, July 2-5, 2012. (invited) Inan, B.; Jansen, S.L.; Spinnler, B.; Ferreira, F.; Van den Borne, D.; Kuschnerov, M.; Lobato, A.: Adhikari, S.; Sleiffer, V.A.J.M.; Hanik, N.: DSP requirements for MIMO spatial multiplexed receivers. IEEE Photonics Society Summer Topical Meeting Series, Seattle, USA, July 9-11, 2012. Staude, G.: Patient Monitoring: Definition, Trends, Visions. Biomedizinische Technik Supplement 1, Jena, Deutschland, Vol.57, p. 426, September 16-19, 2012.* Lobato, A.; Ferreira, F.; Kuschnerov, M.; van den Borne, D.; Jansen, S.L.; Spinnler, B.; Lankl, B.: Impact of Mode Coupling on the Mode-Dependent Loss Tolerance in Few-Mode Fiber Transmission. 38th European Conference on Optical Communications (ECOC) Proceedings, Amsterdam, The Netherlands, September 16-20, 2012. Schmidt, D.; Lankl, B.; Fischer, J.K.; Hilt, J.; Schubert, C.: Real-Time Implementation of a Parallelized Feedforward Timing Recovery Scheme for Receivers in Optical Access Networks. 38th European Conference on Optical Communications (ECOC) Proceedings, Amsterdam, The Netherlands, September 16-20, 2012. Dantona, V.; Delamotte, T.; Bauch, G.; Lankl, B.: Impact of Nonlinear Power Amplifiers on the Performance of Precoded MIMO Satellite Systems. IEEE First AESS European Conference on Satellite Telecommunications (ESTEL), Rome, Italy, October 2-5, 2012. Delamotte, T.; Dantona, V.; Bauch, G.; Lankl, B.: Power Allocation and Bit Loading for Fixed Wireless MIMO Channels. 9th International ITG Conference on Systems, Communication and Coding (SCC), Munich, Germany, January 21-24, 2013. Nebel, M.; Lankl, B.: Sensitivity of the Cross-Spectrum Method for Measurement of Oscillator Phase Noise. 9th International ITG Conference on Systems, Communications and Coding (SCC), Munich, Germany, January 21-24, 2013. Pflueger, D.; Bauch, G.; Hauske, F. N.; Zhao, Y.: Design of LDPC Codes for Hybrid 10 Gbps/100 Gbps Optical Systems with Optional Differential Modulation. 9th International ITG Conference on Systems, Communications and Coding (SCC), Munich, Germany, January 21-24, 2013. Delamotte, T.; Bauch, G.; Dantona, V.; Lankl, B.: Transmit Precoding for MIMO-BICM-ID Satellite Systems with Nonlinear Power Amplifiers. 17th International ITG Workshop on Smart Antennas (WSA), Stuttgart, Germany, March 13-14, 2013. Hofmann, C.A.; Ogermann, D.; Lankl, B.: Measurement Results for the Comparison of Multiple and Single Polarized MIMO Channels in LOS, NLOS, Indoor and Outdoor Scenarios. 17th International ITG Workshop on Smart Antennas (WSA), Stuttgart, Germany, March 13-14, 2013. Ivrlač, M.T.; Lehmeyer, B.; Nossek, J.A.; Hofmann, C.A.; Lankl, B.: Estimation of Noise Parameters in Multi-Antenna Receivers 53 using Digitized Signal Samples. 17th International ITG Workshop on Smart Antennas (WSA), Stuttgart, Germany, March 13-14, 2013. Leoni, P.; Sleiffer, V.A.J.M.; Calabrò, S.; Veljanovski, V.; Kuschnerov, M.; Jansen, S.; Lankl, B.: Impact of Interleaving on SD-FEC Operating in Highly Non-Linear XPM-Limited Regime. Optical Fiber Communication Conference and Exposition (OFC), Anaheim, California, USA, March 17-21, 2013. Sleiffer, V.A.J.M.; Jung, Y.; Leoni, P.; Kuschnerov, M.; Wheeler, N.; Baddela, N.; van Uden, R.; Okonkwo, C.; Hayes, J.; Wooler, J.; Fokoua, E.; Slavik, R.; Poletti, F.; Petrovich, M.; Veljanovski, V.; Alam, S.; Richardson, D.; de Waardt, H.: 30.7 Tb/s (96x320 Gb/s) DP-32QAM transmission over 19-cell Photonic Band Gap Fiber. Optical Fiber Communication Conference and Exposition (OFC), Anaheim, California, USA, March 17-21, 2013. Lobato, A.; Ferreira, F.; Rabe, J.; Inan, B.; Adhikari, S.; Kuschnerov, M.; Napoli, A.; Spinnler, B.; Lankl, B.: On the Mode-Dependent Loss Compensation for Mode-Division Multiplexed Systems. 15th International Conference on Transparent Optical Networks (ICTON) Proceedings, Cartagena, Spain, June 23-27, 2013. (invited) Nebel, M.; Lankl, B.: A new Way of Decomposition of Tangential and Orbital Noise Into Phase Noise and Amplitude Noise Shown with a Simple 2-D Oscillator. 22th International Conference on Noise and Fluctuations (ICNF), Montpellier, France, June 24-28, 2013. Sleiffer, V.A.J.M.; Jung, Y.; Leoni, P.; Kuschnerov, M.; van Uden, R.; Veljanovski, V.; Grüner-Nielsen, L.; Sun, Y.; Richardson, D.; Alam, S.; Poletti, F.; Corbett, B.; Winfield, R.; de Waardt, H.: High capacity multimode transmission systems using higher-order modulation formats. 18th Opto-Electronics and Communications Conference (OECC), Kyoto, Japan, June 30 - July 4, 2013. (invited) Ţarălungă, D.D.; Ungureanu, G.M.; Hurezeanu, B.; Gussi, I., Strungaru, R.; Wolf, W.: Fetal Electrocardiogram Enhancement in Abdominal Recordings: Recording Setup Analysis. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEMBS), Osaka, Japan, July 3-7, 2013. Ungureanu G.M., Ţarălungă, D.D.; Gussi, I.; Wolf, W.; Piper, D.; Strungaru, R.: Monitoring the Fetal Heart Rate Variations by Means of Time-Variant Multivariate Analysis. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEMBS), Osaka, Japan, July 3-7, 2013. Sleiffer, V.A.J.M.; Jung, Y.; Leoni, P.; Kuschnerov, M.; Veljanovski, V.; Wheeler, N.; Baddela, N.; Hayes, J.; Wooler, J.; Numkam, E.; Slavik, R.; Poletti, F.; Petrovich, M.; Alam, S.; Richardson, D.; de Waardt, H.: A First Glance at Coherent Optical Transmission using Photonic Bandgap Fiber as a Transmission Medium. IEEE Photonics Society Summer Topicals Meeting (SUM), Waikoloa, Hawaii, USA, July 8-10, 2013. (invited) Schmidt, D.; Wu, Z.; Lankl, B.: Clock Recovery by Fractionally Spaced Equalizers for Parallelized Receivers in Optical Networks. Signal Processing in Photonic Communications (SPPCom), Rio Grande, Puerto Rico, July 14-17, 2013. 54 Lobato, A.; Ferreira, F.; Rabe, J.; Inan, B.; Adhikari, S.; Kuschnerov, M.; Napoli, A.; Spinnler, B.; Lankl, B.: Mode-Dependent Loss Mitigation for Mode-division Multiplexed Systems. Advanced Photonics Congress, Rio Grande, Puerto Rico, July 14-19, 2013. (invited) Leoni, P.; Sleiffer, V.A.J.M.; Calabro, S.; Veljanovski, V.; Kuschnerov, M.; Lankl, B.: Pre FEC Error Burstiness for 100G Systems Operating in Heavily XPM-Limited Regime. Signal Processing in Photonics Communications (SPPCom), Rio Grande, Puerto Rico, July 14-17, 2013. Pflueger, D.; Bauch, G.; Zhao, Y.; Hauske, F. N.: Conditions on Degree Distributions to Compensate Differential Penalty by LDPC Turbo Decoding. IEEE 78th Vehicular Technology Conference (VTC Fall), Las Vegas, USA, September 2-5, 2013. Ludwig, S.; Börner, J.; Lankl, B.: Orthogonal Receive Symbols at the Receiver for Fast-Fading Rayleigh Channels. AFRICON, Le Meridien - Ile Maurice, Pointe Aux Piments , Mauritius, September 9-12, 2013. Leoni, P.; Sleiffer, V.A.J.M.; Calabrò, S.; Lankl, B.: Constellation Expansion and Iterative Demapping and Decoding for 100G Systems. 39th European Conference and Exhibition on Optical Communication (ECOC), London, England, September 22-26, 2013. Sleiffer, V.A.J.M.; Leoni, P.; Jung, Y.; Surof, J.; Kuschnerov, M.; Veljanovski, V.; Richardson, D.; Alam, S.; Grüner-Nielsen, L.; Sun, Y.; Corbett, B.; Winfield, R.; Calabrò, S.; Sommerkorn-Krombholz, B.; von Kirchbauer, H.; de Waardt, H.: 20 x 960 Gb/s MDM-DP-32QAM transmission over 60km FMF with inline MM-EDFA. 39th European Conference and Exhibition on Optical Communication (ECOC), London, England, September 22-26, 2013. Pflüger, D.; Zhao, Y.; Qi, J.; Hauske, F. N.; Bauch, G.: Soft-Information Quality Analysis for Optimum Soft-Decision Forward Error Correction. IEEE Photonics 2012 Conference (IPC12), Burlingame, USA, September 23-27, 2012. Lobato, A.; Ferreira, F.; Rabe, J.; Kuschnerov, M.; Spinnler, B.; Lankl, B.: Mode Scramblers and Reduced-Search Maximum-likelihood Detection for Mode-Dependent-Loss-Impaired Transmission. European Conference on Optical Communications (ECOC) Proceedings, London, England, September 22-26, 2013. Wolf, W.: Tapping Can Reveal Motor Coordination Problems. Tbilisi International Conference Merging Neuroscience and Medicine: Implications for Brain Disorders, Biomedical Series, Supplementum 39, Tbilisi, Georgia, October 1-4, 2013 Fettweis, G.; Lankl, B.; Grass, E., Krone, S.: Maximum Spectral Efficiency Through Parallelized Multiple-Input-Multiple-Output (MIMO) Transmission Using High-Resolution 3D Antenna Topologies (maximumMIMO). European Microwave Conference (EuMC & EuMIC), Workshop 19: Ultra High Speed Wireless Communication: Approaches and Ideas to Achieve Wireless 100Gb/s Communication, Nuremberg, Germany, October 6-11, 2013. Tax, N.; Lankl, B.: Fixed Effort Sphere Decoder for MIMO OFDM Systems. International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou, China, October 24-26, 2013. 55 Knopp, A.; Schwarz, R.T.; Lankl, B.: Secure MIMO SATCOM Transmission, IEEE Military Communications Conference (MILCOM), pp. 284-288, San Diego, California, USA, November 18-20, 2013. Lewandowsky, J.; Ludwig, S.; Lankl, B.: Detection by Inherent Channel Estimation in Rapidly Fading Channels. 7th International Conference on Signal Processing and Communication Systems (ICSPCS), Gold Coast, Australia, December 16-18, 2013. Leoni, P.; Sleiffer, V.A.J.M.; Calabrò, S.; Lankl, B.: Constellation Expansion and Multi-Symbol Detection for Differentially Encoded 100G Systems. Optical Fiber Communication Conference and Exposition (OFC), San Francisco, California, USA, March 9-13, 2014. Sleiffer, V.A.J.M.; Leoni, P.; Jung, Y.; Chen, H.; Kuschnerov, M.; Alam, S.U.; Petrovich, M.; Poletti, F.; Wheeler, N.; Baddela, N.; Hayes, J.; Numkam, E.; Richardson, D.J.; Grüner-Nielsen, L.; Sun, Y.; de Waardt, H.: Ultra-high capacity transmission with few-mode silica and hollow-core photonic bandgap fibers. Optical Fiber Communication Conference and Exposition (OFC), San Francisco, California, USA, March 9-13, 2014. (invited) Lehmeyer, B.; Ivrlač, M.T.; Mezghani, A.; Nossek, J.A.; Lankl, B.: On Matching Strategies for Wireless Receivers. 18th International ITG Workshop on Smart Antennas (WSA), Erlangen, Germany, March 12-13, 2014. Fischer, J.K.; Elschner, R.; Frey, F.; Hilt, J.; Kottke, C.; Schubert, C.; Wu, Z.; Schmidt, D.; Lankl, B.: Digital signal processing for coherent UDWDM passive optical networks. 15. ITG-Fachtagung Photonische Netze, Leipzig, Germany, May 5-6, 2014. Wu, Z.; Lankl, B.: Polar Codes for Low-Complexity Forward Error Correction in Optical Access Networks. 15. ITG-Fachtagung Photonische Netze, Leipzig, Germany, May 5-6, 2014. 6.6 Presentations Pflüger, Doris: Design of LDPC Codes with a Turbo Loop to the Differential Modulation, Université de Neuchâtel, Neuchâtel, Swizerland, March 4, 2013. Pflüger, Doris: Design of LDPC Codes for Hybrid 10Gbps/100Gbps Optical Systems with Optional Differential Modulation, Hamburg-Harburg University of Technology, Hamburg, Germany, January 9, 2014. Pflüger, Doris: Conditions on Degree Distributions to Compensate Dierential Penalty by LDPC Turbo Decoding, Alcatel-Lucent, Stuttgart, Germany, February 17, 2014. 6.7 Ph.D. Theses Carrier Synchronization in High Bit-Rate Optical Transmission Systems (K. Piyawanno, 2012), Verlag Dr. Köster Berlin, ISBN 978-3-89-574848-6 The Importance of Digital Signal Processing in High Speed Optical Receivers: Equalization, Impairment Compensation and Performance 56 Monitoring (F. Hauske, 2013), Verlag Dr. Köster Berlin, 978-3-89-574827-1 Basic Timing Concepts for the Execution of Multiple Motor Tasks: Coordination of Periodic Tapping with Discrete Tasks (D. Cong Khac, 2012) Periphere Magnetstimulation zur Frührehabilitation zentral-bedingter Lähmungen von Arm und Hand in den ersten Wochen nach Schlaganfall (L. Premoselli, 2012) 6.8 Patent Applications Jan Christopher Lewandowsky, Stephan Ludwig, Berthold Lankl, Martin Thienel: Datenübertragungsverfahren für Kanäle mit schnellveränderlichen Übertragungseigenschaften. DE-Patentanmeldung, Juli 2013 57 9th International ITG Conference on Systems, Communications and Coding - SCC2013 9th International ITG Conference on Systems, Communications and Coding - SCC2013 The SCC, formerly known as the "International Conference on Source and Channel Coding" takes place every two years and is organized by the Technical Committee ITG "Information and Systems Theory". In the main auditorium of the University met for four days more than 150 scientists and industry representatives and high profile guest speakers from the fields of "information theory", "communication" and "navigation systems". The conference was organized by Prof. Dr.-Ing. Gerhard Bauch (Technical University Hamburg-Harburg) and Prof. Dr.-Ing. Berthold Lankl (Institute for Information Technology) and Prof. Dr. sc. Christoph Günther (German Center for Aviation DLR Oberpfaffenhofen / Technical University of Munich) and Prof. Dr.-Ing. hab. Volker Kühn (University of Rostock) organized. ♦ 9th International ITG Conference on Systems, Communications and Coding - SCC2013 ♦ Mädchen machen Technik ♦ Institute Excursion ♦ Christmas Parties Central themes - Wireless Communication and Network Coding The conference started with three tutorials from the fields Optimization for Communications, Principles of compressed sensing and New Challenges for Engineers in Advanced Optical Communication Networks. The second day was dedicated to the field of wireless communication with the guest speakers Takehiro Nakamura ( NTT DOCOMO, Japan) and Dr. Erik 59 Dahlman (Ericsson, Sweden). In the afternoon, said Prof. Hans-Andrea Loeliger (Federal Institute of Technology Zurich, Switzerland) about the following channel coding and information theory. The focus of the third day were the points network coding and MIMO systems (Multiple Input, Multiple Output). A field trip to the DLR was able to visit the German Space Operations Center and the Galileo Control Center. Then guides were presented by the laboratories of the Institute of Communications and Navigation, the research focus of the Institute for. Recent research on the topic navigation The last day was devoted to optical communications. Dr.-Ing. Henning Bülow (Alcatel -Lucent Bell Labs , Germany) and Dr. Peter J. Winzer (Alcatel -Lucent Bell Labs , USA) illuminated the capacity limits of optical transmission and MIMO in optical systems. Prof. Dr. Günter W. Hein (European Space Agency, The Netherlands) and Prof. Dr. Henk Wymeersch (Chalmers University of Technology, Sweden) presented the topic navigation present their research results. The lecture by Prof. Rüdiger Urbanke (Ecole Polytechnique Federale de Lausanne, Switzerland ) on the latest advances in channel coding ended the conference. The accompanying poster exhibition in the foyer of the auditorium was well accepted among scientists, there developed throughout the meeting numerous technical discussions. The next International ITG Conference on Systems, Communications and Coding will be held in 2015 in Hamburg. 60 Mädchen machen Technik Biosignals - Windows to Our Body Gerhard Staude Can we make our thoughts visible? Can we hear our muscles working? Questions like these were addressed by teenage girls between 12 and 14 years who participated in the BIOSIGNALS project during summer holidays 2012 and 2013. Assisted by staff members and Ph.D. students the participants enthusiastically mounted electrodes, turned their lunch into bioelectrical voltage generators, registered eye movements, and analyzed heart rates and reaction times. During the three project days the girls proactively experienced a variety of biomedical signal registration and analysis techniques which are used by physicians for clinical diagnosis and employed by scientists for basic research. Registration of cardiac activity (ECG), cerebral activity (EEG), or muscular activity (EMG) are well-known examples. Starting with a brief introduction into basic biological and technical facts, the girls conducted experiments and measurements by themselves, thus getting a tantalizing glimpse into the fascinating field of BIOSIGNALS project Staff of Professur für Informationsverarbeitung (Prof. Gerhard Bauch) Direction and presentation PD. Dr.-Ing. Gerhard Staude Cornelia Budach (logistics) Josef Dochtermann (logistics, IT systems) Wolfgang Hanzl (logistics) Wolfgang Weber (experimental setup, bioelectricity) Prof. Dr.-Ing. Werner Wolf (driving simulator) The BIOSIGNALS project is part of the annual Girls and Technology summer school of the Bavarian universities and research institutions for girls aged between 10 and 16 years. The summer school is organized by the Girls in Science and Technology agency, an institution of the Women’s representative of the Technische Universität München. Students and Ph.D. students: Benjamin Fabinger, EIT09 (tutor signal registration)2012-2013 Susann Kohlmetz, EIT09 (tutor signal registration) 2012 Thomas Kürsten, EIT09 (tutor signal registration) 2013 Christian Speer, EIT09 (driving simulator) 2013 Dipl.-Sportwiss. Miriam Ködderitzsch-Frank (motor coordination) 2012-2013 Dipl.- Sportwiss. Florian Frank (motor coordination) 2013 biomedical information technology. Questions like Who is the fastest and most accurate fighter against her virtual opponent in the electronic fencing simulation were examined at least as attentively as the mathematical and technical basics of computer tomography and magnetic resonance imaging technologies. 61 Institute Excursions On our Institute Excursion in 2012 we went to hike along the Osterseen in the morning of the 24th of July. The Osterseen are a couple of small lakes close to munich, south of the Starnberger See. To the nature-sanctuary belong more than 30 lakes. They were created in the last glacial period. Their name does not derive from the Christian festival Ostern (eastern), but from the Osern (eskers), a long, winding ridge of stratified sand and gravel formed by the glacial melt water. We met at the paking area close to the Fohnseestüberl. This is a Biergarten located in Iffeldorf next to the Fohnsee, one of the southern lakes of the Osterseen. We started there our hike around the Fohnsee and the Großer Ostersee. The path always led closely along the lakeside. This allowed splendid views on the water. Parts of the tour crossed moorlands with their particular landscape. We also passed by the Blaue Gumpe. This is a cone, where water is swelling into the lake. As the edges are covered with white lime and the water has a constant temperature the whole year, the water appears particular blue. This is a typical phenomenon at the Osterseen. The weather was wonderful sunny and warm. So we were glad about the shady trees along the way. We ended our hike after about 9 kilometers with a delicious lunch back at the Fohnseestüberl. In the afternoon we relaxed at the lakeside and enjoyed the sun. Some had coffee and interesting conversations, while others went for a swim in the Fohnsee or played cards. 62 On July 10, 2013 we met in good weather at the parking lot of Hotel Grauer Bär at Lake Kochel. The Lake is located about 50 km south of Munich near the Alps. The south bank is already surrounded by mountains, where else the flat preAlpine landscape is against the North Shore. We started our journey around the lake with a walk in the direction of the Walchensee power plant at the southern tip of the lake. On our way we passed a camping site, where just two military helicopters had landed by a large group of soldiers. As we were to learn later, it was paratroopers who jumped into the Lake during the day. After we had passed the power plant the path led us at the foot of a historical long wave radio station. The narrow path to the west of lake Kochel is dominated by the steep shore. A few vantage points offered nice change. Around lunch time we reached Schlehdorf in the northwest of the lake, where we had lunch in the Klosterschänke after a short visit to the monastery Schlehdorf. Later in the afternoon we continued our journey around the lake by ferry. About Kochel we reached back to our starting point. A nice pastime on the ferry was to observe the parachutists and listen to the comments the other passengers marveled about them. After our return the official part was over. One group rounded off the trip with ice cream, coffee and cake at the shore. The other visited the Lainbachfälle, a series of impressive waterfalls of a stream which flows into the Lake. Both were a fitting conclusion for a nice excursion. 63 Christmas Parties In 2012, our Christmas party took place on December 11th. The first part consisted in a Bavarian lunch in a restaurant located in Neubiberg. Unfortunately, Prof. Lankl couldn´t join us for long during this lunch due to his teaching activities. Christmas parties are surely interesting but teaching engineering is even more. After this lunch, we had the occasion to play “Kegeln” in a room just under the restaurant. Since he had finished his lecture, Prof. Lankl took part in this activity and he kindly invited all the institute. “Kegeln” is a game quite similar to bowling whose principle is to use a ball to knock over as much pins as you can. The difference between the two are the number of pins (in Kegeln is 9 and in bowling 10); the ball (heavier and has 3 holes in bowling, while in Kegeln the ball has no holes); and, the way the pins are organized at the end of the track (in bowling a triangle and in Kegeln a rhombus). We can mention this exploit of Mr. Hanzl who launched his ball with so much strength that it didn´t knock over any pin but rather ended up in a hole on the side of the track normally designed to get the balls back. But don´t worry ! Nothing was broken! Later in the afternoon, we came back in the restaurant and took the time to enjoy the taste of a Helles or a Weißbier together with traditional Christmas pastries. We spent some time there talking about life at the university, the achievable peak data rates in the Long Term Evolution standard or professional plans after the PhD. 64 On 17th December of 2013, the institute staff chose to honor one of Germany’s most famous and loved humorists, Loriot (a.k.a. Vicco von Bülow), by visiting the exhibition “Loriot. Spätlese” which was hosted in the Literaturhaus München (Salvatorplatz) from 20.09.2013 to 12.01.2014. This exhibition featured a great deal of previously unpublished material that was posthumously made available by the artist’s family. Having died of old age in 2011, the 12th November 2013 would have been Loriot’s 90th birthday. After having the honor of a guided tour through the exhibition before the regular opening hours, the staff stopped off at the “Nürnberger Bratwurst Glöckl am Dom” directly in the vicinity of the Frauenkirche to enjoy a hearty and equally tradition-steeped lunch: the “Bratwurst Glöckl” inn can be traced back to documents as early as 1390, thus preceding the Frauenkirche. Staff members enjoyed a rustic meal of Nuremberger bratwurst served on pewter plates and accompanied by delicious side dishes such as potato salad, sauerkraut and grated horse radish. Ample opportunity for chatting among each other was observed until a smaller group returned back to the institute’s “Blaues Eck” for a quiet conclusion of the day with snacks and sweets. On this occasion, especially the senior staff members reminisced about the good old early days of technology, where writing a computer program meant to punch holes into a strip of paper, taking pictures required manually spooling photographic film, and radios employed “magic eye” tubes for signal strength indication. 65 Institut für Informationstechnik Professur für Informationstechnische Systeme Professur für Informationsverarbeitung Prof. Dr.-Ing. Berthold Lankl N.N. Universität der Bundeswehr München Werner-Heisenberg-Weg 39 D-85577 Neubiberg Tel.: (+49)89 6004 3630 Tel.: (+49)89 6004 3607 Fax: (+49)89 6004 3641 Fax: (+49)89 6004 3603 Email: sekr.int@unibw.de Email: sekretariat-iv@unibw.de Website: www.unibw.de/eit3_1 Website: www.unibw.de/eit3_2 GPS: 48.07986°N, 11.63764°E