Abstract
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 language | English |
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| Title of host publication | IEE 5th European Personal Mobile Communications Conference, 2003 |
| Publisher | Institution of Engineering and Technology (IET) |
| Pages | 101 - 105 |
| ISBN (Print) | 0852967535 |
| Publication status | Published - Apr 2003 |
Publication series
| Name | |
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| ISSN (Print) | 05379989 |
Bibliographical note
Sponsorship: The authors wish to thank Dr. Christophe Andrieu for very insightful comments and suggestions, and Toshiba TREL. Ltd. forsponsoring the work presented in this article
Other identifier: Conf. Publ. No. 492
Keywords
- MIMO systems
- OFDM modulation
- Viterbi decoding
- prediction theory
- trellis codes
- channel estimation