Joint channel estimation and data detection using a blind Bayesian decision feedback equaliser

Author

Chen, S. ; McLaughlin, S. ; Grant, P.M. ; Mulgrew, B.

Author_Institution

Dept. of Electr. Eng., Portsmouth Univ., UK

fYear

1995

fDate

34969

Firstpage

42461

Lastpage

42465

Abstract

A blind Bayesian decision feedback equaliser has been developed for joint channel estimation and symbol detection. It has been shown how the complete blind equaliser is built up with many identical adaptive units. Each of these units consists of a bank of simple least mean square channel estimators and Bayesian decision feedback equalisers. An efficient parallel implementation can therefore be realised readily. Simulation results have demonstrated fast convergence of this blind equaliser. Convergence can generally be achieved in less than 100 symbols when binary symbol constellation is used and within a few hundred symbols when a 4-level symbol constellation is used

Keywords

Bayes methods; adaptive equalisers; adaptive signal detection; convergence of numerical methods; decision feedback equalisers; least mean squares methods; pulse amplitude modulation; telecommunication channels; transient response; 4-level symbol constellation; adaptive unit; binary symbol constellation; blind Bayesian decision feedback equaliser; channel estimation; convergence; data detection; least mean squares; parallel implementation; symbol detection;

fLanguage

English

Publisher

iet

Conference_Titel

Blind Deconvolution - Algorithms and Applications, IEE Colloquium on

Conference_Location

London

Type

conf

DOI

10.1049/ic:19950899

Filename

494823