SEMI-BLIND BUSSGANG EQUALIZATION ALGORITHM

This paper addresses the problem of semi-blind equalization following a Bussgang approach. An equalization scheme that integrates the training information into the iterative Bussgang algorithm is analyzed. The semi-blind equal-ization scheme allows flexible introduction of redundancy in the transmission scheme. The accuracy is assessed in the reference case of the Global System for Mobile com-munication (GSM), i.e. GMSK modulated signals received through typical mobile radio channels. Numerical simula-tions show that the semi-blind Bussgang equalization al-gorithm achieves performance comparable with the Maxi-mum Likelihood Sequence Estimator (MLSE) implemented by Viterbi algorithm. Its flexibility allows to consider differ-ent amounts of training information as well as higher order constellations. 1