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

RJ Piechocki; AR Nix; JP McGeehan

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 proceeding › Chapter in a book

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
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
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

Keywords

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

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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 = "MIMO systems, OFDM modulation, Viterbi decoding, prediction theory, trellis codes, channel estimation",

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

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T1 - Joint semi-blind detection and channel estimation in space-frequency trellis coded MIMO-OFDM

AU - Piechocki, RJ

AU - Nix, AR

AU - McGeehan, JP

N1 - 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

PY - 2003/4

Y1 - 2003/4

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 - MIMO systems

KW - OFDM modulation

KW - Viterbi decoding

KW - prediction theory

KW - trellis codes

KW - channel estimation

M3 - Chapter in a book

SN - 0852967535

SP - 101

EP - 105

BT - IEE 5th European Personal Mobile Communications Conference, 2003

PB - Institution of Engineering and Technology (IET)

ER -

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

Abstract

Publication series

Bibliographical note

Keywords

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