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Joint semi-blind detection and channel estimation in space-frequency trellis coded MIMO-OFDM

Research output: Contribution to conferenceAbstract

Original languageEnglish
Pages3382 - 3386
StatePublished - May 2003


This paper considers an OFDM system with a multiple-input multiple-output (MIMO) configuration, which uses space-frequency trellis coding (SFTC). A novel method of decoding SFTC without a need to transmit separate training sequences is developed. The technique uses only a single frequency tone to acquire a complete set of the channels' estimates while performing SFTC detection. The method is akin to blind trellis search techniques (per-survivor processing - PSP) and adaptive Viterbi. Our solution consists of the deployment of a bank of Kalman filters. The bank of Kalman filters is coupled with Viterbi type decoders, which produce tentative decisions based on Kalman channel predictions. In return, the Kalman filters use the tentative decisions to update and track the MIMO channels corresponding to a number of tracked hypotheses

Additional information

Sponsorship: The authors would like to thank Toshiba TREL. Ltd. for sponsoring the work presented in this article Terms of use: Copyright © 2003 IEEE. Reprinted from Proceedings of IEEE International Conference on Communications, 2003. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it Name of Conference: International Conference on Communications (ICC) Venue of Conference: Alaska

    Research areas

  • adaptive Viterbi, semi-blind detection, Space-Frequency Coding, Kalman filter, MIMO-OFDM, per-survivor processing

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