IJESS

SPLIT MLSE ADAPTIVE EQUALIZATION IN SEVERELY FADED RAYLEIGH MIMO CHANNELS

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Abstract

This paper presents an overview of adaptive equalization used in multiple-input-multiple-output (MIMO) wireless systems. In this paper, we consider two-user transmission over a Rayleigh frequency selective fading channel, in which the Channel State Information (CSI) is known by the receiver. Subject to an average transmit power constraint, we study the performance with Rayleigh fading. Besides an approximation result of such performance is proposed, and by conducting numerical comparison it is shown that our suggested approximation result has a better performance in approximating Rayleigh fading using Maximum-Likelihood Sequence Estimation (MLSE) algorithm. We here proposed a split MLSE adaptive equalization for use in faded MIMO channels. The proposed system is analyzed in terms of bit error rate (BER) with signals to noise ratio (SNR). Evaluation and comparison of the performances of MIMO system in the Additive White Gaussian Noise (AWGN) channel, and Rayleigh fading channel are provided. Experimental results show that the proposed split MLSE based adaptive equalization gives better results compared to composite equalization done traditionally.

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