A fixed-lag particle smoother for blind SISO equalization of time-varying channels

Author

Guimarães, Alberto ; Ait-El-Fquih, Boujemaa ; Desbouvries, François

Author_Institution

Inst. Mil. de Eng., Rio de Janeiro, Brazil

Volume

9

Issue

2

fYear

2010

fDate

2/1/2010 12:00:00 AM

Firstpage

512

Lastpage

516

Abstract

We introduce a new sequential importance sampling (SIS) algorithm which propagates in time a Monte Carlo approximation of the posterior fixed-lag smoothing distribution of the symbols under doubly-selective channels. We perform an exact evaluation of the optimal importance distribution, at a reduced computational cost when compared to other optimal solutions proposed for the same state-space model. The method is applied as a soft input-soft output (SISO) blind equalizer in a turbo receiver framework and simulation results are obtained to show its outstanding BER performance.

Keywords

MIMO communication; Monte Carlo methods; blind equalisers; time-varying channels; BER performance; Monte Carlo approximation; blind SISO equalization; fixed-lag particle smoother; posterior fixed-lag smoothing distribution; sequential importance sampling algorithm; soft input-soft output blind equalizer; time-varying channels; turbo receiver framework; Approximation algorithms; Bit error rate; Blind equalizers; Computational efficiency; Computational modeling; Monte Carlo methods; Performance evaluation; Smoothing methods; Telecommunications; Time-varying channels; Fixed-lag smoothing, particle filter, mixture Kalman filter, SISO equalization.;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2010.02.081694

Filename

5403527