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Maximum likelihood MIMO channel estimation and turbo equalization for space-time coded GSM systems

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3 Author(s)
Gonzalez-Lopez, M. ; Dept. of Electronica y Sistemas, Univ. of A Coruna, Spain ; Miguez, J. ; Castedo, L.

This paper presents a novel channel estimator for GSM space-time coded (STC) systems. It is based on applying the maximum likelihood (ML) principle not only over a known training sequence, but also over the unknown symbols. Performing the so-called turbo equalization at reception we can obtain very accurate estimations of the a posteriori probabilities of these unknown symbols. These probabilities play a key role in the computation of the ML channel estimator. We also show how the expectation-maximization (EM) algorithm can be used to solve the resulting channel estimation optimization problem. As a practical application we study how much can the training sequence length be reduced in a GSM system operating in subway environments.

Published in:

Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on

Date of Conference:

15-18 June 2003