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dc.contributor.authorGholami, M.R.en_US
dc.contributor.authorGezici, S.en_US
dc.contributor.authorStrom, E.G.en_US
dc.date.accessioned2016-02-08T12:06:54Z
dc.date.available2016-02-08T12:06:54Z
dc.date.issued2013en_US
dc.identifier.issn15206149
dc.identifier.urihttp://hdl.handle.net/11693/27966
dc.description.abstractWe deal with the positioning problem based on two-way time-of-arrival (TW-TOA) measurements in asynchronous wireless sensor networks. The optimal estimator for this problem poses a difficult global optimization problem. To avoid the drawbacks in solving the optimal estimator, we use approximations and derive linear models, which facilitate efficient solutions. In particular, we employ the least squares method and solve a general trust region subproblem to find a coarse estimate. To further refine the estimate, we linearize the measurements and obtain a linear model which can be solved using regularized least squares. Simulation results illustrate that the proposed approaches asymptotically attain the Cramér-Rao lower bound. © 2013 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.titleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICASSP.2013.6638419en_US
dc.subjectPositioningen_US
dc.subjectregularised least squaresen_US
dc.subjecttrust region subproblemen_US
dc.subjecttwo-way time-of-arrival (TW-TOA)en_US
dc.subjectGlobal optimization problemsen_US
dc.subjectLeast Squareen_US
dc.subjectLeast squares methodsen_US
dc.subjectNode localizationen_US
dc.subjectPositioningen_US
dc.subjectRegularized least squaresen_US
dc.subjectTrust region subproblemen_US
dc.subjectTwo way time of arrivals (TW TOA)en_US
dc.subjectSensor nodesen_US
dc.subjectSignal processingen_US
dc.subjectLeast squares approximationsen_US
dc.titleRange based sensor node localization in the presence of unknown clock skewsen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage4046en_US
dc.citation.epage4050en_US
dc.identifier.doi10.1109/ICASSP.2013.6638419en_US


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