A novel approach to data-efficient blind channel identification and equalization

Author

See, Chong-Meng Samson

Author_Institution

DSO National Labs., Singapore

fYear

1997

fDate

9-12 Sep 1997

Firstpage

1213

Abstract

This paper introduces a new approach to blind identification and equalization of communication channels. This approach exploits the finite alphabet (FA) constraint on the input symbol sequence and the algebraic structures of the symbol, channel output and channel parameter matrices. A forward-backward optimization method is also introduced to exploit the structural information. Initial simulations show that the proposed approach can achieve relatively good BER performance when compared with the Viterbi-based maximum likelihood sequence estimator (VB-MLSD) using known sampled channel impulse response

Keywords

equalisers; error statistics; identification; matrix algebra; optimisation; sequences; time-varying channels; BER performance; algebraic structures; channel output matrix; channel parameter matrix; communication channels; data-efficient blind channel identification; equalization; finite alphabet constraint; forward-backward optimization method; input symbol sequence; sampled channel impulse response; structural information; symbol matrix; Bandwidth; Bit error rate; Blind equalizers; Communication channels; Convergence; Digital communication; Maximum likelihood estimation; Mobile communication; Optimization methods; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on

Print_ISBN

0-7803-3676-3

Type

conf

DOI

10.1109/ICICS.1997.652176

Filename

652176