Component
École Nationale Supérieure d'Électrotechnique d'Électronique d'Informatique d'Hydraulique et des Télécommunications
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.