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

Alberto Guimarães*, Boujemaa Ait El Fquih, François Desbouvries

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


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.

Original languageEnglish (US)
Article number5403527
Pages (from-to)512-516
Number of pages5
JournalIEEE Transactions on Wireless Communications
Issue number2
StatePublished - Feb 1 2010


  • Fixed-lag smoothing
  • Mixture Kalman filter
  • Particle filter
  • SISO equalization

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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