Open Access

Soft-In Soft-Output Detection in the Presence of Parametric Uncertainty via the Bayesian EM Algorithm

EURASIP Journal on Wireless Communications and Networking20052005:201802

DOI: 10.1155/WCN.2005.100

Received: 30 April 2004

Published: 28 April 2005

Abstract

We investigate the application of the Bayesian expectation-maximization (BEM) technique to the design of soft-in soft-out (SISO) detection algorithms for wireless communication systems operating over channels affected by parametric uncertainty. First, the BEM algorithm is described in detail and its relationship with the well-known expectation-maximization (EM) technique is explained. Then, some of its applications are illustrated. In particular, the problems of SISO detection of spread spectrum, single-carrier and multicarrier space-time block coded signals are analyzed. Numerical results show that BEM-based detectors perform closely to the maximum likelihood (ML) receivers endowed with perfect channel state information as long as channel variations are not too fast.

Keywords

expectation-maximization algorithm soft-in soft-out detection fading channels space-time coding OFDM

Authors’ Affiliations

(1)
Department of Information Engineering, University of Modena and Reggio Emilia

Copyright

© Gallo and Vitetta 2005

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.