Novel Approach to Cochannel Interference Mitigation Using Wilcoxon Generalized Radial Basis Function Network

Wireless communication system are affected by intersymbol interference, co-channel interference in the presence of additive white Gaussian noise. Different equalization techniques have been used to mitigate these effects using artificial neural networks based multilayer perceptron network, radial basis function, fuzzy system, functional link artificial neural networks and etc, conventionally linear adaptive filter trained by LMS and RLS algorithm. In this paper we proposed a RBF based equalizer which is trained using Wilcoxon learning method. The equalizer presented shows considerable performance gain. Simulation studies have been conducted to demonstrate the performance of Wilcoxon training for this class of problem.