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dc.contributor.authorGuvenc, I.en_US
dc.contributor.authorGezici, Sinanen_US
dc.contributor.authorSahinoglu Z.en_US
dc.date.accessioned2016-02-08T09:45:15Z
dc.date.available2016-02-08T09:45:15Z
dc.date.issued2010-09-22en_US
dc.identifier.issn1530-8669
dc.identifier.urihttp://hdl.handle.net/11693/21360
dc.description.abstractIn this paper, theoretical lower bounds on performance of linear least-squares (LLS) position estimators are obtained, and performance differences between LLS and nonlinear least-squares (NLS) position estimators are quantified. In addition, two techniques are proposed in order to improve the performance of the LLS approach. First, a reference selection algorithm is proposed to optimally select the measurement that is used for linearizing the other measurements in an LLS estimator. Then, a maximum likelihood approach is proposed, which takes correlations between different measurements into account in order to reduce average position estimation errors. Simulations are performed to evaluate the theoretical limits and to compare performance of various LLS estimators.en_US
dc.language.isoEnglishen_US
dc.source.titleWireless Communications and Mobile Computingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/wcm.1029en_US
dc.subjectCramer-rao lower bound (CRLB)en_US
dc.subjectleast-squares (LS) estimationen_US
dc.subjectMaximum likelihood (ML)en_US
dc.subjectTime-of-arrival (TOA)en_US
dc.subjectWireless positioningen_US
dc.subjectCramer-rao lower bounden_US
dc.subjectLeast Squareen_US
dc.subjectLinear least squaresen_US
dc.subjectLower boundsen_US
dc.subjectMaximum likelihood approachesen_US
dc.subjectNonlinear least squaresen_US
dc.subjectPosition estimationen_US
dc.subjectSelection algorithmen_US
dc.subjectTheoretical limitsen_US
dc.subjectTime-of-arrivalen_US
dc.subjectWireless positioningen_US
dc.subjectAlgorithmsen_US
dc.subjectCramer-Rao boundsen_US
dc.subjectMaximum likelihooden_US
dc.subjectEstimationen_US
dc.titleFundamental limits and improved algorithms for linear least-squares wireless position estimationen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage1037en_US
dc.citation.epage1052en_US
dc.citation.volumeNumber12en_US
dc.citation.issueNumber12en_US
dc.identifier.doi10.1002/wcm.1029en_US
dc.publisherJohn Wiley & Sonsen_US
dc.contributor.bilkentauthorGezici, Sinan


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