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Digital Communication and Signal Processing 2012
8th Semester, D-ITET, 6 credits
Course Number
227-0436-00L
Digital communication systems are characterized by ever increasing requirements on data rate, spectral efficiency and reliability. Due to the huge advances in very large scale integration (VLSI) we are now able to implement extremely complex digital signal processing algorithms to meet these challenges. As a result the physical layer (PHY) of digital communication systems has become the dominant function in most state-of-the-art system designs. In this course we discuss the major elements of PHY implementations in a rigorous theoretical fashion and present important practical examples to illustrate the application of the theory. In Part I we treat discrete time linear adaptive filters, which are a core component to handle multiuser and intersymbol interference in time-variant channels. Part II is presented in form of a seminar, designed to give the students hands-on experience in modern cooperative wireless communication techniques. Based on different relaying strategies, we develop a theoretical and simulative analysis of multiuser networks. In Part III we cover parameter estimation and synchronization. Based on the classical discrete detection and estimation theory we develop digital algorithms for symbol timing and frequency synchronization.
For the spring semester 2012, the course has been revised considering last year's student feedback.
Lecturer
Prof. Dr. A. Wittneben
Teaching Assistants
Eric Slottke
Zemene Walle Mekonnen
Raphael Rolny
Schedule
Discussion: Wednesday, 08:15-09:00 and 11:10-11:55, ETZ H91, starting February 29, 2012
Lecture: Wednesday, 09:15-11:00, ETZ H91, starting February 22, 2012
Handouts and Problem Sets
can be found here
(access restricted to domain ethz.ch.)
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Part 1: Linear adaptive filters for digital communication
- Finite impulse response (FIR) filter for temporal and spectral shaping
- Wiener filters
- Method of steepest descent
- Least mean square adaptive filters
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Part 2: Seminar block on cooperative wireless communication
- Review of the basic concepts of wireless communication
- Multiuser amplify & forward and decode & forward relaying strategies
- Performance evaluation of adaptive A&F and D&F relaying schemes and oral student presentations
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Part 3: Parameter estimation and synchronization
- Discrete detection theory
- Discrete estimation theory
- Synthesis of synchronization algorithms
- Frequency estimation
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Main References:
- [1] Oppenheim, A. V., Schafer, R. W., "Discrete-time signal processing," Prentice-Hall, ISBN 0-13-754920-2.
- [2] Haykin, S., "Adaptive filter theory," Prentice-Hall, ISBN 0-13-090126-1.
- [3] Van Trees, H. L., "Detection, estimation and modulation theory," John Wiley&Sons, ISBN 0-471-09517-6.
- [4] Meyr, H., Moeneclaey, M., Fechtel, S. A., "Digital communication receivers: synchronization, channel estimation and signal processing," John Wiley&Sons, ISBN 0-471-50275-8.
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