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

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


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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. © 2006 IEEE.

Publication metadata

Author(s): Hassan MAS, Sharif BS, Woo WL

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 11th IEEE Symposium on Computers and Communications (ISCC)

Year of Conference: 2006

Pages: 477-481

ISSN: 1530-1346

Publisher: IEEE


DOI: 10.1109/ISCC.2006.90

Library holdings: Search Newcastle University Library for this item

ISBN: 0769525881