A Wireless Channel Model Based on Multilayer FNN

According to the mechanism of feedforward neural network (FNN), this paper describes a wireless communication channels model based on multilayer FNN with improved back propagation (BP) algorithm. And simulation results of this model show that the FNN model can track the time-varying characteristic of nonstationary wireless channels very well. When applied to practical wireless communication channels, several unique merits of this method are also demonstrated