Joint channel estimation and data detection using a blind Bayesian decision feedback equaliser

A blind Bayesian decision feedback equaliser has been developed for joint channel estimation and symbol detection. It has been shown how the complete blind equaliser is built up with many identical adaptive units. Each of these units consists of a bank of simple least mean square channel estimators and Bayesian decision feedback equalisers. An efficient parallel implementation can therefore be realised readily. Simulation results have demonstrated fast convergence of this blind equaliser. Convergence can generally be achieved in less than 100 symbols when binary symbol constellation is used and within a few hundred symbols when a 4-level symbol constellation is used.