Performance Analysis of MIMO System with Linear MMSE Receiver

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dc.contributor.authorKim, Namshikko
dc.contributor.authorLee, Yusungko
dc.contributor.authorPark, Hyuncheolko
dc.date.accessioned2013-03-06T12:27:42Z-
dc.date.available2013-03-06T12:27:42Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2008-11-
dc.identifier.citationIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.7, no.11, pp.4474 - 4478-
dc.identifier.issn1536-1276-
dc.identifier.urihttp://hdl.handle.net/10203/86980-
dc.description.abstractThis paper considers the uncoded multiple-input multiple-output (MIMO) system with linear minimum mean square error (MMSE) detection under ideal fast fading. The distribution of SINR at the output of the MMSE detection is derived for a small number of transmit and receive antennas. We present new approximation for the Gaussian Q-function driven by numerical simulation. Based on the SINR distribution and new approximation for Q-function, we analyze the performance of linear MMSE detection under ideal fast fading environment. By comparing the analytical results and Monte Carlo simulated results, we validate the analytical results.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titlePerformance Analysis of MIMO System with Linear MMSE Receiver-
dc.typeArticle-
dc.identifier.wosid000260946300009-
dc.identifier.scopusid2-s2.0-57149148255-
dc.type.rimsART-
dc.citation.volume7-
dc.citation.issue11-
dc.citation.beginningpage4474-
dc.citation.endingpage4478-
dc.citation.publicationnameIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS-
dc.identifier.doi10.1109/T-WC.2008.070785-
dc.contributor.localauthorPark, Hyuncheol-
dc.contributor.nonIdAuthorKim, Namshik-
dc.contributor.nonIdAuthorLee, Yusung-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorMultiple-input multiple-output (MIMO)-
dc.subject.keywordAuthorminimum mean square error (MMSE)-
dc.subject.keywordAuthorsymbol error rate (SER)-
dc.subject.keywordAuthorsignal-to-interference-and-noise ratio (SINR)-
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