Soft-in soft-output detection in the presence of parametric uncertainty via the Bayesian EM algorithm

Authors:
A. S. Gallo;G. M. Vitetta
Affiliations:
Department of Information Engineering, University of Modena and Reggio Emilia, via Vignolese 905, 41100 Modena, Italy;Department of Information Engineering, University of Modena and Reggio Emilia, via Vignolese 905, 41100 Modena, Italy
Venue:
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Year:
2005

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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.