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dc.contributor.authorGüvenç, İsmailen_US
dc.contributor.authorGezici, Sinanen_US
dc.contributor.authorWatanabe F.en_US
dc.contributor.authorInamura, H.en_US
dc.coverage.spatialLas Vegas, NV, USA
dc.date.accessioned2016-02-08T11:38:07Z
dc.date.available2016-02-08T11:38:07Z
dc.date.issued2008-03-04en_US
dc.identifier.urihttp://hdl.handle.net/11693/26865
dc.descriptionDate of Conference: 31 March-3 April 2008
dc.descriptionConference name: 2008 IEEE Wireless Communications and Networking Conference
dc.description.abstractLinear least squares (LLS) estimation is a low complexity but sub-optimum method for estimating the location of a mobile terminal (MT) from some distance measurements. It requires selecting one of the fixed terminals (FTs) as a reference FT for obtaining a linear set of expressions. However, selection of the reference FT is commonly performed arbitrarily in the literature. In this paper, a method for selection of the reference FT is proposed, which improves the location accuracy compared to a fixed selection of the reference FT. Moreover, a covariancematrix based LLS estimator is proposed in line of sight (LOS) and non-LOS (NLOS) environments which further improves accuracy since the correlations between the observations are exploited. Simulation results prove the effectiveness of the proposed techniques. © 2008 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE Wireless Communications and Networking Conference, WCNC 2008en_US
dc.relation.isversionofhttps://doi.org/10.1109/WCNC.2008.55
dc.subjectLeast-squares (LS) estimationen_US
dc.subjectLinearizationen_US
dc.subjectMaximum likelihood estimation (MLE)en_US
dc.subjectReference selectionen_US
dc.subjectWireless localizationen_US
dc.subjectChannel capacityen_US
dc.subjectCurve fittingen_US
dc.subjectElectric appliancesen_US
dc.subjectEstimationen_US
dc.subjectGeodesyen_US
dc.subjectLeast squares approximationsen_US
dc.subjectPort terminalsen_US
dc.subjectSurface reconstructionen_US
dc.subjectWireless telecommunication systemsen_US
dc.titleEnhancements to linear least squares localization through reference selection and ML estimationen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage284en_US
dc.citation.epage289en_US
dc.identifier.doi10.1109/WCNC.2008.55
dc.publisherIEEE
dc.contributor.bilkentauthorGezici, Sinan


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