MIMO Channel Modelling and Trackittg Via LMS-Like Predictive Estimation

In wireless communications, the channel between transmitter and receiver is dynamic thus for signal detection the receiver has to be periodically in- formed about the channel between the transmitter and the receiver. This paper partially discusses about our pro- posed geometrical model for channel matrix in a multiple-input multiple-output (MIMO) communication system. Then, assuming that the channel matrix is slowly fading, we propose an auto- regressive (AR) model for channel matrix at each time instant. Based on the introduced model, an LMS-like procedure for hannel tracking is used to inclease the time period required for channel training and, in turn, increasing the late of data transmission. Our imulation experiments indicate the efficiency of the proposed method for channel matrix tracking