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

Lookup NU author(s): Mr MA Hussan Hassan, Professor Bayan Sharif, Dr Wai Lok Woo


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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.

Publication metadata

Author(s): Hassan M, Sharif B, Woo WL

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 24th IASTED international conference on Signal Processing, Pattern Recognition, and Applications

Year of Conference: 2006

Pages: 66-70

ISSN: 1482-792

Publisher: ACTA Press

Library holdings: Search Newcastle University Library for this item

ISBN: 0889865809