Channel estimation/equalization in Digital Communications

This page contains a brief introduction to principles of channel estimation/identification and channel equalization. Some demonstration programs in MATLAB are included. Typical simulation results are shown.

This is for beginners to learn what is equalization, how to do simulation, as well as what is adaptive signal processing.

Digital communication models, training-based (batch) methods for channel estimation and equalization (t3eq.pdf).

Channel estimation (batch algorithm), (results).
Channel equalization (batch algorithm), (results).

Training-based adaptive equalization, blind adaptive equalization (CMA) (t4eq.pdf)

Adaptive MMSE equalizer (adaptive algorithm), (results).
Blind adaptive CMA equalizer (blind CMA), (results).

Blind equalization with second order statistics, CMA equalizer, subspace method (t5eq.pdf)

Blind fractional-space CMA equalizer (blind F-CMA), (results).
Blind channel estimation: subspace method (SS algorithm), (results).

Rake receiver for CDMA (t6eq.pdf)

Generate spreading code (long code.m).
CDMA Rake receiver (rake.m), (results).

Appendix:

Change this program to generate simulation plots (draw.m), (results).
Quickly go through elements of digital communications (t1.pdf), and CDMA technology (t2.pdf).

Copyright: Xiaohua(Edward) Li, Assistant Professor, Dept. ECE, SUNY at Binghamton.

Problems? Contact: xli@binghamton.edu

Advanced level? See my publications.