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Bayesian blind and semi-blind equalisation of channels with Markov inputs

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3 Author(s)
Doucet, A. ; Signal Process. Group., Cambridge Univ., UK ; Andrieu, C. ; Urien, R.

An original full Bayesian approach is developed for blind and semi-blind equalisation of fading channels with Markov inputs. The sequence of discrete symbols is estimated according to a marginal maximum a posteriori criterion; the other unknown parameters are regarded as random nuisance parameters and are integrated out analytically. A batch algorithm is proposed to maximise the marginal posterior distribution. Simulation results are presented to demonstrate the effectiveness of the method

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Vision, Image and Signal Processing, IEE Proceedings -  (Volume:148 ,  Issue: 4 )