Neural Network Nonlinear MIMO Channel Identification and Receiver Design

Multiple-input multiple-output (MIMO) systems have gained an enormous amount of attention as one of the most promising research areas of wireless communication. However, while MIMO systems have been extensively explored over the past decade, few schemes acknowledge the nonlinearity caused by the use of high power amplifiers (HPAs) in the communication chain. When HPAs operate near their saturation points, nonlinear distortions are introduced in the transmitted signal, and the resulting MIMO channel will be nonlinear. The nonlinear distortion is further exacerbated by the fading caused by the propagation channel. The goal of this paper is to use neural network (NN) technique for modeling and identification of time-varying nonlinear MIMO channels. NN schemes are then used to design an efficient receiver for these types of nonlinear fading MIMO channels.