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Open Access

A Novel Decoder for Unknown Diversity Channels Employing Space-Time Codes

EURASIP Journal on Advances in Signal Processing20022002:874972

https://doi.org/10.1155/S1110865702000616

Received: 29 May 2001

Published: 18 March 2002

Abstract

We suggest new decoding techniques for diversity channels employing space time codes (STC) when the channel coefficients are unknown to both transmitter and receiver. Most of the existing decoders for unknown diversity channels employ training sequence in order to estimate the channel. These decoders use the estimates of the channel coefficients in order to perform maximum likelihood (ML) decoding. We suggest an efficient implementation of the generalized likelihood ratio test (GLRT) algorithm that improves the performance with only slight increase in complexity. We also suggest an energy weighted decoder (EWD) that shows additional improvement without further increase in the computational complexity.

Keywords

maximum likelihoodgeneralized likelihood ratio testViterbi algorithmrecursive least square

Authors’ Affiliations

(1)
Department of Electrical Engineering-Systems, Tel Aviv University, Tel Aviv, Israel

Copyright

© Erez and Feder 2002

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