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http://dx.doi.org/10.5370/JEET.2008.3.2.280

Approximate ML Detection with the Best Channel Matrix Selection for MIMO Systems  

Jin, Ji-Yu (School of Electrical and Electronic Engineering, Seoul National University)
Kim, Seong-Cheol (School of Electrical and Electronic Engineering, Seoul National University)
Park, Yong-Wan (Dept. of Information and Communication Engineering, Yeungnam University)
Publication Information
Journal of Electrical Engineering and Technology / v.3, no.2, 2008 , pp. 280-284 More about this Journal
Abstract
In this paper, a best channel matrix selection scheme(BCMS) is proposed to approximate maximum likelihood(ML) detection for a multiple-input multiple-output system. For a one stage BCMS scheme, one of the transmitted symbols is selected to perform ML detection and the other symbols are detected by zero forcing(ZF). To increase the diversity of the symbols that are detected by ZF, multi-stage BCMS detection scheme is used to further improve the system performance. Simulation results show that the performance of the proposed BCMS scheme can approach that of ML detection with a significant reduction in complexity.
Keywords
MIMO; Maximum Likelihood Detection; Zero Forcing; Best Channel Matrix Selection;
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