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dc.contributor.authorQasaymeh, Mahmoud Mohammad
dc.contributor.authorHiren, G.
dc.contributor.authorNizar, T.
dc.contributor.authorPendse, Ravi
dc.contributor.authorSawan, M. Edwin
dc.date.accessioned2011-09-21T14:45:00Z
dc.date.available2011-09-21T14:45:00Z
dc.date.issued2009-04-26
dc.identifier.citationQasaymeh, M.M.; Hiren, G.; Nizar, T.; Pendse, R.; Sawan, M.E.; , "Rank Revealing QR Factorization for Jointly Time Delay and Frequency Estimation," Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th , vol., no., pp.1-4, 26-29 April 2009 doi: 10.1109/VETECS.2009.5073825en_US
dc.identifier.isbn9781424425174
dc.identifier.issn1550-2252
dc.identifier.urihttp://hdl.handle.net/10057/3811
dc.identifier.urihttp://dx.doi.org/10.1109/VETECS.2009.5073825
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.abstractThe rank-revealing QR factorization (RRQR) is a valuable tool in numerical linear algebra because it provides accurate information about rank and numerical null-space. In this paper, we addressed the problem of estimating the time delay and the frequencies of noisy sinusoidal signals received at two spatially separated sensors using the well known RRQR, subspace decomposition technique. Although eigenvalue decomposition (EVD) of cross spectral matrix or singular value decomposition SVD for the data matrix based techniques provide accurate estimation, they are hard to meet real time constraints due to computational load and cost. To explore compatibility with real time applications, we proposed a RRQR method in association with the well-known MUSIC/root-MUSIC algorithm to estimate unknown parameters without using any EVD or SVD. The simulation results verify that the proposed method provide better performance than the well known EVD or SVD based methods with less computational complexity.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesVehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th;vol., no., pp.1-4, 26-29
dc.subjectComputational efficiencyen_US
dc.subjectEigenvalues and eigen functionsen_US
dc.subjectFrequency estimationen_US
dc.subjectLinear algebraen_US
dc.subjectMatrix decompositionen_US
dc.subjectMultiple signal classificationen_US
dc.subjectParameter estimationen_US
dc.subjectSingular value decompositionen_US
dc.titleRank revealing QR factorization for jointly time delay and frequency estimationen_US
dc.typeConference paperen_US
dc.description.versionPeer reviewed article
dc.rights.holder© IEEE, 2009


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