Egalisation de Canal

Objectives

The objective of this course is to present detection and estimation methods in the context of frequency  selective channels. A particular attention will be given to linear and nonlinear equalization methods with both time-domain or frequency-domain implementation for single-carrier communication systems. 

Description

This course presents the methods for detection and estimation over frequency selective channels. The following points will be addressed:

-Modeling frequency selective channels: equivalent discrete baseband channel models, Forney vs Ungerböeck observation model;

-Time domain linear equalization: ZF and MMSE criteria for non-constrained RII filter and RIF;

- Nonlinear equalization: maximum likelihood detection  (trellis, Viterbi Algorithm); non-linear filter-based or block-based detection(DFE) ;

- Frequency domain linear equalization : block circular single-carrier waveform; frequency domain equalization (ZF, MMSE); spectral shaping (OFDM precoded SC-OFDM / DFT, EW-SC-OFDM);

The practical lab. sessions are dedicated to the implementation of the algorithms and models seen in this course.

Targeted skills

-To understand the fundamentals of detection and estimation techniques for frequency-selective channel transmissions;
-To be able to derive the discrete baseband equivalent model of a digital communication schemes for a frequency-dispersive channel;
-To know the main methods for detection and equalization;
-To know how to implement a detector and/or equalizer; 

-To know how to select the parameters of the different methods to manage the performance/complexity trade-off. 

Bibliography

[1] B. P. Lathi and Zhi Ding, Modern Digital and Analog Communication Systems, Oxford University Press, 2009.
[2] John Barry, Edward Lee, David Mersserschnitt, Digital Communications, Kluwer Academic Publisher, Third edition.
[3] Andreas F. Molisch, Wireless Communications, 2nd Edition,IEEE Press-Wiley, 2010.
[4] Digital Communications, 4th edition, John G. Proakis, Mc Graw-Hill.
[5] J. Choi, Adaptive and Iterative Signal Processing in Communications, Cambridge University Press, 2006.
[6] Zhi Ding and Ye Li, Blind Equalization and Identification , Marcel Dekker, New York, 2001.

Session 1 ou session unique - Contrôle des connaissances

Session 2 - Contrôle des connaissances