Localization algorithms for passive sensor networks

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dc.contributor.authorIsmailova, Darya
dc.contributor.supervisorLu, Wu-Sheng
dc.date.accessioned2017-01-23T15:59:28Z
dc.date.available2017-01-23T15:59:28Z
dc.date.copyright2016en_US
dc.date.issued2017-01-23
dc.degree.departmentDepartment of Electrical and Computer Engineering
dc.degree.levelMaster of Applied Science M.A.Sc.en_US
dc.description.abstractLocating a radiating source based on range or range measurements obtained from a network of passive sensors has been a subject of research over the past two decades due to the problem’s importance in applications in wireless communications, surveillance, navigation, geosciences, and several other fields. In this thesis, we develop new solution methods for the problem of localizing a single radiating source based on range and range-difference measurements. Iterative re-weighting algorithms are developed for both range-based and range-difference-based least squares localization. Then we propose a penalty convex-concave procedure for finding an approximate solution to nonlinear least squares problems that are related to the range measurements. Finally, the sequential convex relaxation procedures are proposed to obtain the nonlinear least squares estimate of source coordinates. Localization in wireless sensor network, where the RF signals are used to derive the ranging measurements, is the primary application area of this work. However, the solution methods proposed are general and could be applied to range and range-difference measurements derived from other types of signals.en_US
dc.description.proquestcode0544en_US
dc.description.proquestemailismailds@uvic.caen_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/7747
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectleast squares;en_US
dc.subjectnon-convex optimizationen_US
dc.subjectTOA localizationen_US
dc.subjectTDOA localizationen_US
dc.subjectconvex relaxationen_US
dc.subjectDifference-of-Convex programmingen_US
dc.subjectsecond order cone programming (SOCP)en_US
dc.subjectpenalty convex-concave procedureen_US
dc.subjectsequential convex relaxationen_US
dc.subjectiterative re-weightingen_US
dc.subjectpassive sensor networken_US
dc.subjectwireless sensor networken_US
dc.titleLocalization algorithms for passive sensor networksen_US
dc.typeThesisen_US

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