Indoor location estimation by using MLE based algorithm on smallcell networks

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dc.contributor.authorİlyas, Muhammad
dc.contributor.authorBayat, Oğuz
dc.contributor.authorİleri, Ömer
dc.date.accessioned2021-05-15T12:40:34Z
dc.date.available2021-05-15T12:40:34Z
dc.date.issued2015
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Bilgisayar Mühendisliği Bölümüen_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY
dc.descriptionIlyas, Muhammad/0000-0002-3207-451X
dc.description.abstractThis paper presents a new framework for indoor localization using third generation universal mobile telecommunication system (3G UMTS) Femtocell. The fingerprinting technique is applied to collect the RSSI values through an Android User Equipment (UE) and data is processed in real time using Message Queuing telemetry protocol (MQTT) server. To achieve better RF planning and optimization for the placement of Femto Access Point (FAP), statistical analysis is performed by normalizing and calculating the mean square error (MSE) of the acquired data. To maximize the success rate in finding the location of the person, maximum likelihood estimation (MLE) is used for tracking. Simulation was carried out both for randomly generated samples and real world test.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn, Elect & Elect Engn, Bilkent Univen_US
dc.identifier.endpage693en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939153100
dc.identifier.scopusqualityN/A
dc.identifier.startpage690en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/615
dc.identifier.wosWOS:000380500900152
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorİlyas, Muhammad
dc.institutionauthorBayat, Oğuz
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2015 23Rd Signal Processing and Communications Applications Conference (Siu)
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFemtocellsen_US
dc.subjectIndoor Localizationen_US
dc.subjectIndoor Positioningen_US
dc.subjectNormal Distributionen_US
dc.subjectMaximum Likelihooden_US
dc.titleIndoor location estimation by using MLE based algorithm on smallcell networks
dc.typeConference Object

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WoS İndeksli Yayınlar Koleksiyonu
Bilgisayar Mühendisliği Bölümü Koleksiyonu
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