EM algorithms for sequence estimation over random ISI channels

Author

Perry, Richard ; Berger, W. Andrew ; Buckley, Kevin

Author_Institution

Villanova Univ., PA, USA

Volume

1

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

295

Abstract

This paper presents a new approach using EM (expectation-maximization) algorithms for ML (maximum likelihood) sequence estimation over unknown ISI (inter-symbol interference) channels with random channel coefficients. By using the EM formulation to marginalize over the channel coefficient distribution, maximum-likelihood estimates of the transmitted sequence are obtained. The EM algorithms are shown to perform better, in terms of BER, than existing algorithms which perform jointly-optimal sequence and channel estimation.

Keywords

digital communication; error statistics; intersymbol interference; maximum likelihood sequence estimation; optimisation; random processes; telecommunication channels; BER; EM algorithms; MLSE; channel coefficient distribution; expectation-maximization; intersymbol interference; maximum likelihood sequence estimation; maximum-likelihood estimates; optimal channel estimation; optimal sequence estimation; random ISI channels; random channel coefficients; transmitted sequence; Bit error rate; Channel estimation; Digital communication; Finite impulse response filter; Intersymbol interference; Iterative algorithms; Iterative methods; Maximum likelihood estimation; Training data; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.832340

Filename

832340