Channel Identification and Equalization in Digital Communications

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

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

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).
Go through elements of digital communications (t1.pdf), and CDMA technology (t2.pdf).

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

Problems? Contact: xli@binghamton.edu

Advanced level? See my publications.