A novel analytical method for maximum likelihood detection in MIMO multiplexing systems

Authors:
Wei Peng;Shaodan Ma;Tung-sang Ng;Jiangzhou Wang
Affiliations:
Department of Electrical and Communication of Tohoku University, Japan and Department of Electrical and Electronic Engineering, University of Hong Kong;Department of Electrical and Electronic Engineering, University of Hong Kong;Department of Electrical and Electronic Engineering, University of Hong Kong;Department of Electronics, Kent University, UK
Venue:
IEEE Transactions on Communications
Year:
2009

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Abstract

This letter addresses the problem of symbol error probability (SEP) analysis for maximum likelihood (ML) detection in multiple-input multiple-output (MIMO) multiplexing systems. A new analytical method is presented based on the Total Probability Theorem. The effects of imperfect channel estimation and power allocation scheme are investigated. The accuracy of the proposed method is demonstrated by Monte-Carlo simulations. It is shown that the analytical results match quite well with the simulation ones irrespective of the signal-to-noise-ratio (SNR).