On-line blind equalization of FIR channels using a Gibbsian technique

Author

Perreau, Sylvie ; Duhamel, Pierre

Author_Institution

Alcatel CIT, Paris, France

Volume

5

fYear

1997

fDate

21-24 Apr 1997

Firstpage

3613

Abstract

This paper is concerned with the blind equalisation of a communication system. We propose to realize the identification of the channel impulse response as well as the noise variance estimation and detection of the emitted sequence of symbols. The signal representation as a hidden Markov model (HMM) has the intrinsic potential for solving such a problem. However, the high performance of such methods is usually obtained at the cost of a high computational complexity and local minima problems. Both issues are addressed in this paper

Keywords

FIR filters; equalisers; estimation theory; filtering theory; hidden Markov models; noise; signal detection; signal representation; signal sampling; telecommunication channels; FIR channels; FIR filter; Gibbs sampler method; Gibbsian technique; HMM; Monte Carlo EM algorithm; channel impulse response; communication system; hidden Markov model; high computational complexity; identification; local minima problems; noise variance estimation; online blind equalization; signal model; signal representation; symbol sequence detection; Blind equalizers; Computational complexity; Costs; Equations; Finite impulse response filter; Hidden Markov models; Iterative algorithms; Parameter estimation; Stochastic processes; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.604648

Filename

604648