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

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

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This paper presents an iterative (turbo) channel estimation and turbo 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 the Kalman filter channel estimator, soft-input-soft-output (SISO) minimum mean square error (MMSE) equalizer and a maximum posterior probability (MAP) decoder, the channel estimate 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. It is observed from simulations that the overall system performance can be improved by 4dB after 14 iterations compared to non-iterative channel estimation and equalization. The proposed method is shown to obtain fast channel estimation and low complexity turbo equalization which are requirements in time-varying fading channels.

Original languageEnglish
Title of host publicationProceedings - 11th IEEE Symposium on Computers and Communications, ISCC 2006
PublisherIEEE
Pages477-481
Number of pages5
ISBN (Print)0769525881
DOIs
Publication statusPublished - 11 Sep 2006
Event11th IEEE Symposium on Computers and Communications, ISCC 2006 - Cagliari, Sardinia, Italy
Duration: 26 Jun 200629 Jun 2006

Conference

Conference11th IEEE Symposium on Computers and Communications, ISCC 2006
CountryItaly
CityCagliari, Sardinia
Period26/06/0629/06/06

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