This article is part of the series Space-Time Coding and its Applications – Part II.

Open Access Research Article

Low-Complexity Iterative Receiver for Space-Time Coded Signals over Frequency Selective Channels

Noura Sellami12*, Inbar Fijalkow2 and Mohamed Siala3

Author Affiliations

1 France Télécom R&D, 38-40 rue du Général Leclerc, Issy les Moulineaux 92794, France

2 Équipe de Traitement des Images et du Signal, ENSEA-Université de Cergy Pontoise, 6 avenue du Ponceau, Cergy-Pontoise, 95014, France

3 Sup'Com, Route de Raoued Km 3.5, Ariana, 2083, Tunisia

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EURASIP Journal on Advances in Signal Processing 2002, 2002:949532  doi:10.1155/S1110865702203054

The electronic version of this article is the complete one and can be found online at:

Received:31 May 2001
Revisions received:18 March 2002
Published:30 May 2002

© 2002 Sellami et al.

We propose a low-complexity turbo-detector scheme for frequency selective multiple-input multiple-output channels. The detection part of the receiver is based on a List-type MAP equalizer which is a state-reduction algorithm of the MAP algorithm using per-survivor technique. This alternative achieves a good tradeoff between performance and complexity provided a small amount of the channel is neglected. In order to induce the good performance of this equalizer, we propose to use a whitened matched filter (WMF) which leads to a white-noise "minimum phase" channel model. Simulation results show that the use of the WMF yields significant improvement, particularly over severe channels. Thanks to the iterative turbo processing (detection and decoding are iterated several times), the performance loss due to the use of the suboptimum List-type equalizer is recovered.

space-time coded MIMO channel equalization; per-survivor processing; multidimensional whitened matched filter; turbo detection

Research Article