Abstract
This paper describes a new solution to the channel intersymbol interference and the nonlinear distortion by means of adaptive array antenna and radial basis function (RBF) equalizer. RBF equalizer can reduce the influence of intersymbol interference and additive noise in the digital communication system. It is also well known to eliminate the nonlinear distortion effectively. But the conventional RBF equalizers including our previous proposed equalizer, spatial and temporal RBF equalizer using adaptive array antenna, need training data to learn channel states, which incurs decline in the data rate. In this paper, without training data, we construct a blind spatial and temporal RBF equalizer using genetic algorithm. Furthermore, we also describe a method of synthesizing Bayesian decision variables of RBF equalizers in order to obtain better performance. The RBF equalizer based on the proposed method can present a remarkable improvement in BER characteristics and its performance is demonstrated by computer simulations.
