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

Authors:
Mohamed Hassan;Bayan Sharif;W. L. Woo
Affiliations:
School of Electrical, Electronic and Computer Engineering, University of Newcastle upon Tyne, United Kingdom;School of Electrical, Electronic and Computer Engineering, University of Newcastle upon Tyne, United Kingdom;School of Electrical, Electronic and Computer Engineering, University of Newcastle upon Tyne, United Kingdom
Venue:
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Year:
2006

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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.