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dc.contributor.authorUluskan, Seçkin
dc.contributor.authorFilik, Tansu
dc.date.accessioned2019-10-21T20:40:47Z
dc.date.available2019-10-21T20:40:47Z
dc.date.issued2016
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.urihttps://hdl.handle.net/11421/20476
dc.description24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYen_US
dc.descriptionWOS: 000391250900385en_US
dc.description.abstractIn this research, for RSS based localization, geometry based new heuristic solutions are proposed and compared to maximum likelihood estimation (MLE) in terms of performance. It is shown that new heuristic methods which are geometrically meaningful can have almost equal performance with MLE. Furthermore, it is shown that they do not experience severe convergence problem unlike MLE. Therefore, during determination of cost functions, in addition to theoretical background, importance of the issues which are related to the numerical solution such as existences of local minima, overall structure and smoothness is emphasized.en_US
dc.description.sponsorshipIEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Engnen_US
dc.language.isoturen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRss Based Localizationen_US
dc.subjectMleen_US
dc.subjectNlsen_US
dc.subjectCost Functionen_US
dc.titleA Survey on the Fundamentals of RSS based Localizationen_US
dc.typeconferenceObjecten_US
dc.relation.journal2016 24th Signal Processing and Communication Application Conference (Siu)en_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.startpage1633en_US
dc.identifier.endpage1636en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US]
dc.contributor.institutionauthorFilik, Tansu


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