Co-channel interference suppression using a fuzzy filter

This paper investigates the problem of channel equalisation in digital cellular radio (DCR) application. DCR systems are affected by cochannel interference (CCI), intersymbol interference (ISI) in presence of additive white Gaussian noise (AWGN). Here we propose a fuzzy equaliser to equaliser communication channels with these anamolies. This equaliser performs close to to the optimum Bayesian equaliser with a substantial reduction in computational complexity. The equaliser is trained with supervised and unsupervised scalar clustering techniques in sequence, and consist of a fuzzy equaliser with a preprocessor for CCI compensation. Simulation studies have demonstrated the performance of the proposed technique.