Soft Computing Approach to Channel Estimation for MIMO OFDM Systems

Abstract

This thesis presents an TSK fuzzy approach to channel estimation for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. The information of dispersive fading channel is described by using a TSK fuzzy model, which is updated by using the decision feedback symbol or the scattered pilot symbol. Space-time block coding (STBC) is used to get the diversity gain. Computer simulations demonstrate the bit error rate (BER) performance and compare to the minimum mean-square-error (MMSE) method. The advantage of this method lies in the reduced computational overload since matrix inverse used in MMSE is not necessary.