A Design Method for Blind Equalizers Using Multilayer Perceptrons

Abstract

The novel equalizer structures utilizing neural computation have been developed for compensating for nonlinear channel distortion. This paper considers the problem of blind equalization in digital communication systems by using multilayer perceptrons (MLPs) and the problem of improvement of convergence rate for MLP. Simulation results show the effectiveness of the proposed method compared with Bussgang method.