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

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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.

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Correspondence to AS Gallo.

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Gallo, A., Vitetta, G. Soft-In Soft-Output Detection in the Presence of Parametric Uncertainty via the Bayesian EM Algorithm. J Wireless Com Network 2005, 201802 (2005) doi:10.1155/WCN.2005.100

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Keywords

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