A fixed-lag particle smoothing algorithm for the blind turbo equalization of time-varying channels

Alberto Gaspar Guimarães, Boujemaa Ait El Fquih, Francois Desbouvries

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We introduce a novel sequential importance sampling (SIS) algorithm for the blind equalization of doubly selective channels. Our algorithm propagates a Monte Carlo (MC) approximation of the posterior fixed-lag smoothing distribution of the symbols. As we shall see, it is possible to sample particles from the optimal importance distribution and to update the smoothing importance weights accordingly. We next apply the developed method as a SISO (Soft Input Soft Output) equalizer in a turbo receiver framework. The performance evaluation of our algorithm is carried out under different fading scenarios, and the results are compared with a soft iterative channel estimation scheme available in the literature.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages2917-2920
Number of pages4
DOIs
StatePublished - Sep 16 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
CountryUnited States
CityLas Vegas, NV
Period03/31/0804/4/08

Keywords

  • Blind equalization
  • Sequential importance sampling methods
  • Turbo equalization

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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