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

RJ Piechocki, AR Nix, JP McGeehan

Research output: Chapter in Book/Report/Conference proceedingChapter in a book


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
Original languageEnglish
Title of host publicationIEE 5th European Personal Mobile Communications Conference, 2003
PublisherInstitution of Engineering and Technology (IET)
Pages101 - 105
ISBN (Print)0852967535
Publication statusPublished - Apr 2003

Publication series

ISSN (Print)05379989

Bibliographical note

Sponsorship: The authors wish to thank Dr. Christophe Andrieu for very insightful comments and suggestions, and Toshiba TREL. Ltd. for
sponsoring the work presented in this article

Other identifier: Conf. Publ. No. 492


  • MIMO systems
  • OFDM modulation
  • Viterbi decoding
  • prediction theory
  • trellis codes
  • channel estimation


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