In this paper an expectation-maximization (EM) technique for maximum a posteriori (MAP) estimation is employed to devise novel soft-in soft-out (SISO) algorithms for symbol detection over frequency-flat Rayleigh fading channels. An application of these algorithms to iterative decoding of coded PSK signals is proposed and some performance results are illustrated.
An expectation-maximization (EM) soft-in soft-out (SISO) detection algorithms for fading channels was derived. The application of detection algorithms to the iterative decoding of interleabede convolutionaly encoded phase shift keying (PSK) signals was illustrated. Equivalent error performance was provided by the EM and the Bayesian expectation-maximization (BEM) algorithms.
MAP symbol estimation on frequency-flat Rayleigh fading channels via a Bayesian EM algorithm / Chiavaccini, Eugenio; Vitetta, Giorgio Matteo. - STAMPA. - 4:(2001), pp. 1057-1061. (Intervento presentato al convegno 2001 IEEE International Conference on Communications (ICC 2001) tenutosi a Helsinki, fin nel 11-14 June, 2001).
MAP symbol estimation on frequency-flat Rayleigh fading channels via a Bayesian EM algorithm
CHIAVACCINI, Eugenio;VITETTA, Giorgio Matteo
2001
Abstract
An expectation-maximization (EM) soft-in soft-out (SISO) detection algorithms for fading channels was derived. The application of detection algorithms to the iterative decoding of interleabede convolutionaly encoded phase shift keying (PSK) signals was illustrated. Equivalent error performance was provided by the EM and the Bayesian expectation-maximization (BEM) algorithms.
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