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

RJ Piechocki; AR Nix; JP McGeehan

doi:10.1109/ICC.2003.1204082

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

RJ Piechocki, AR Nix, JP McGeehan

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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
Pages	3382 - 3386
DOIs	https://doi.org/10.1109/ICC.2003.1204082
Publication status	Published - May 2003

Bibliographical note

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 [email protected].
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

Keywords

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

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Piechocki IEEE ICC May2003Accepted author manuscript, 176 KB

http://hdl.handle.net/1983/172

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@conference{e0cb7ca1f14940099849bcd7e5d62141,

title = "Joint semi-blind detection and channel estimation in space-frequency trellis coded MIMO-OFDM",

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",

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

author = "RJ Piechocki and AR Nix and JP McGeehan",

note = "Sponsorship: The authors would like to thank Toshiba TREL. Ltd. for sponsoring the work presented in this article Terms of use: Copyright {\textcopyright} 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 [email protected]. 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",

year = "2003",

month = may,

doi = "10.1109/ICC.2003.1204082",

language = "English",

pages = "3382 -- 3386",

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AU - Piechocki, RJ

AU - Nix, AR

AU - McGeehan, JP

N1 - 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 [email protected]. 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

PY - 2003/5

Y1 - 2003/5

N2 - 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

AB - 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

KW - adaptive Viterbi

KW - semi-blind detection

KW - Space-Frequency Coding

KW - Kalman filter

KW - MIMO-OFDM

KW - per-survivor processing

U2 - 10.1109/ICC.2003.1204082

DO - 10.1109/ICC.2003.1204082

M3 - Conference Abstract

SP - 3382

EP - 3386

ER -

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

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