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dc.contributor.authorPendse, Ravi
dc.contributor.authorHiren, G.
dc.contributor.authorSawan, M. Edwin
dc.contributor.authorQasaymeh, Mahmoud Mohammad
dc.contributor.authorNizar, T.
dc.date.accessioned2011-09-15T21:16:26Z
dc.date.available2011-09-15T21:16:26Z
dc.date.issued2009-05-11
dc.identifier.citationHiren, G.; Qasaymeh, M.M.; Pendse, R.; Sawan, M.E.; Nizar, T.; , "Semiblind Multiuser MIMO Channel Estimators Using PM and RRQR Methods,"Communication Networks and Services Research Conference, 2009. CNSR '09. Seventh Annual , vol., no., pp.1-5, 11-13 May 2009 doi: 10.1109/CNSR.2009.11en_US
dc.identifier.isbn9781424441556
dc.identifier.urihttp://hdl.handle.net/10057/3762
dc.identifier.urihttp://dx.doi.org/10.1109/CNSR.2009.11
dc.descriptionThe full text of this article is not available on SOAR. WSU users can access the article via IEEE Xplore database licensed by University Libraries: http://libcat.wichita.edu/vwebv/holdingsInfo?bibId=1045954en_US
dc.description.abstractEstimating the channel state information (CSI) of several transmitters that use orthogonal space-time block codes (OSTBC) to communicate with a single receiver is considered. Based on rank revealing QR (RRQR) factorization and propagator method (PM), two new algorithms to estimate multiuser MIMO channels are proposed. The algorithm estimates the subspace spanned by the user channels use only a few training blocks to extract the users CSI from this subspace. Our both algorithms achieve better performance in comparison with reference LS based approach. Computer simulations are included to validate proposed methodsen_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesCommunication Networks and Services Research Conference, 2009. CNSR '09. Seventh Annual;vol., no., pp.1-5
dc.subjectRank-Revealing QR Factorizationen_US
dc.subjectPropagator Methoden_US
dc.subjectOSTBCen_US
dc.subjectMIMOen_US
dc.subjectChannel Estimationen_US
dc.subjectCSIen_US
dc.subjectOrthogonal codesen_US
dc.subjectSpace-time codesen_US
dc.titleSemiblind multiuser MIMO channel estimators using PM and RRQR methodsen_US
dc.typeConference paperen_US
dc.description.versionPeer reviewed article
dc.rights.holder© IEEE, 2009


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