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

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dc.contributor.authorJin, Jiyu-
dc.contributor.authorKim, Seong-Cheol-
dc.contributor.authorPark, Yongwan-
dc.date.accessioned2009-07-02T23:30:25Z-
dc.date.available2009-07-02T23:30:25Z-
dc.date.issued2008-06-
dc.identifier.citationJournal of Electrical Engineering & Technology, vol. 3, no. 2, pp. 280-284, Jun. 2008en
dc.identifier.issn1975-0102-
dc.identifier.urihttps://hdl.handle.net/10371/5205-
dc.description.abstractIn 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.en
dc.description.sponsorshipThis work is partly supported by Brain Korea 21 Project and Seoul R&BD program (10544).en
dc.language.isoen-
dc.publisher대한전기학회 = Korean Institue of Electrical Engineersen
dc.subjectMIMOen
dc.subjectMaximum Likelihood Detectionen
dc.subjectZero Forcingen
dc.subjectBest Channel Matrix Selectionen
dc.titleApproximate ML Detection with the Best Channel Matrix Selection for MIMO Systemsen
dc.typeArticleen
dc.contributor.AlternativeAuthor진지유-
dc.contributor.AlternativeAuthor김성철-
dc.contributor.AlternativeAuthor박용완-
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