Iterative channel estimation and equalization of STBC-OFDM system over time-varying ISI channels

Mohamed Hassan*, Bayan Sharif, W. L. Woo

*Corresponding author for this work

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

Abstract

This paper presents an iterative (turbo) channel estimation and equalization when orthogonal frequency division multiplexing (OFDM) has been concatenated to space-time block code (STBC) over time-varying multipath Rayleigh fading channels. Based on Kalman filter channel estimator, soft-input-soft-output (SISO) minimum mean square error (MMSE) equalizer and a maximum posterior probability (MAP) decoder, both channel estimation and equalization can be improved for each iteration by using soft information feedback from the decoder. Computer simulations show good estimation and tracking by the Kalman filter with only a few training (pilot) symbols even when signals experience deep fading. The proposed method is shown to obtain fast channel estimation and low complexity iterative equalization which are requirements in time-varying fading channels.

Original languageEnglish
Title of host publicationProceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
PublisherACM
Pages66-70
Number of pages5
Volume2006
ISBN (Print)0-88986-580-9
Publication statusPublished - 15 Feb 2006
Event3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications - Innsbruck, Austria
Duration: 15 Feb 200617 Feb 2006

Conference

Conference3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
CountryAustria
CityInnsbruck
Period15/02/0617/02/06

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