File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

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

TitleA novel analytical method for maximum likelihood detection in MIMO multiplexing systems
Authors
KeywordsImperfect channel estimation
Maximum likelihood detection
MIMO
Performance analysis
Issue Date2009
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=26
Citation
Ieee Transactions On Communications, 2009, v. 57 n. 8, p. 2264-2268 How to Cite?
AbstractThis 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-tonoise- ratio (SNR). © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/124696
ISSN
2015 Impact Factor: 2.298
2015 SCImago Journal Rankings: 1.659
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorPeng, Wen_HK
dc.contributor.authorMa, Sen_HK
dc.contributor.authorNg, TSen_HK
dc.contributor.authorWang, Jen_HK
dc.date.accessioned2010-10-31T10:49:01Z-
dc.date.available2010-10-31T10:49:01Z-
dc.date.issued2009en_HK
dc.identifier.citationIeee Transactions On Communications, 2009, v. 57 n. 8, p. 2264-2268en_HK
dc.identifier.issn0090-6778en_HK
dc.identifier.urihttp://hdl.handle.net/10722/124696-
dc.description.abstractThis 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-tonoise- ratio (SNR). © 2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=26en_HK
dc.relation.ispartofIEEE Transactions on Communicationsen_HK
dc.rightsIEEE Transactions on Communications. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectImperfect channel estimationen_HK
dc.subjectMaximum likelihood detectionen_HK
dc.subjectMIMOen_HK
dc.subjectPerformance analysisen_HK
dc.titleA novel analytical method for maximum likelihood detection in MIMO multiplexing systemsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0090-6778&volume=57&issue=8&spage=2264&epage=2268&date=2009&atitle=A+novel+analytical+method+for+maximum+likelihood+detection+in+MIMO+multiplexing+systems-
dc.identifier.emailMa, S: sdma@eee.hku.hken_HK
dc.identifier.emailNg, TS: tsng@eee.hku.hken_HK
dc.identifier.authorityMa, S=rp00153en_HK
dc.identifier.authorityNg, TS=rp00159en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TCOMM.2009.08.70432en_HK
dc.identifier.scopuseid_2-s2.0-69549084847en_HK
dc.identifier.hkuros173948en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-69549084847&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume57en_HK
dc.identifier.issue8en_HK
dc.identifier.spage2264en_HK
dc.identifier.epage2268en_HK
dc.identifier.isiWOS:000268852500020-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridPeng, W=35234313600en_HK
dc.identifier.scopusauthoridMa, S=8553949000en_HK
dc.identifier.scopusauthoridNg, TS=7402229975en_HK
dc.identifier.scopusauthoridWang, J=11439898400en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats