Nonlinear complex channel equalization using a radial basis function neural network

The problem of equalization for complex signals is presented. A competitive method is proposed for the estimation of the centers of a complex radial basis function neural network. Simulation results are presented from the point of view of mean square error and signal space partition. Concluding remarks and further developments are discussed.