A decision feedback equalizer based on non-singleton fuzzy RBF network

A non-singleton fuzzy radial basis function (RBF) network based decision feedback equalizer is proposed in this paper for severely nonlinear distorted channels with burst jamming. The method introduced non-singleton fuzzy technology with preceding filtering capability into RBF network, and adjusted the tunable parameters by gradient-descent algorithm. Simulation is carried out to compare it with other nonlinear channel equalizers. The result shows the method has better performance on anti-burst jamming and bit error rate.