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

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

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
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages2917-2920
Number of pages4
DOIs
Publication statusPublished - 16 Sept 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: 31 Mar 20084 Apr 2008

Publication series

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

Conference

Conference2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/TerritoryUnited States
CityLas Vegas, NV
Period31/03/084/04/08

Keywords

  • Blind equalization
  • Sequential importance sampling methods
  • Turbo equalization

Fingerprint

Dive into the research topics of 'A fixed-lag particle smoothing algorithm for the blind turbo equalization of time-varying channels'. Together they form a unique fingerprint.

Cite this