Indoor Positioning Using Federated Kalman Filter

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dc.authorscopusid57202982817
dc.authorscopusid6603417688
dc.contributor.authorAyabakan, T.
dc.contributor.authorKerestecioğlu, Feza
dc.contributor.authorKerestecioglu, F.
dc.date.accessioned2023-10-19T15:05:34Z
dc.date.available2023-10-19T15:05:34Z
dc.date.issued2018
dc.department-tempAyabakan, T., Savaş Sistemleri Başmuhendisli?i, Istanbul Tersanesi Komutanli?i, Istanbul, Turkey; Kerestecioglu, F., Bilgisayar Muhendisli?i Bolumu, Kadir Has Universitesi, Istanbul, Turkeyen_US
dc.descriptionAselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netasen_US
dc.description26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 --2 May 2018 through 5 May 2018 -- --137780en_US
dc.description.abstractIn this paper, one of the multi sensor fusion techniques, namely Federated Kalman Filter (FKF) performance is studied for Indoor Positioning problem. Kalman Filters having centralized and decentralized structures are widely used for outdoor positioning and navigation applications. Besides them, indoor positioning received large interest in recent years. In this study, decentralized FKF is applied in indoor positioning problem by taking its outdoor navigation performance into consideration. Simulations are done using distance measurements assumed to be priorly calculated. Results gathered via simulations are evaluated to be promising for future studies. © 2018 IEEE.en_US
dc.identifier.citationcount5
dc.identifier.doi10.1109/SIU.2018.8404427en_US
dc.identifier.endpage4en_US
dc.identifier.isbn9781538615010
dc.identifier.scopus2-s2.0-85050829397en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2018.8404427
dc.identifier.urihttps://hdl.handle.net/20.500.12469/4950
dc.khas20231019-Scopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference, SIU 2018en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount5
dc.subjectData fusionen_US
dc.subjectFederated kalman filteren_US
dc.subjectIndoor positioningen_US
dc.subjectData fusionen_US
dc.subjectIndoor positioning systemsen_US
dc.subjectDecentralized structuresen_US
dc.subjectFederated Kalman filtersen_US
dc.subjectIndoor positioningen_US
dc.subjectMulti-sensor fusion techniquesen_US
dc.subjectOutdoor navigationen_US
dc.subjectOutdoor positioningen_US
dc.subjectKalman filtersen_US
dc.titleIndoor Positioning Using Federated Kalman Filteren_US
dc.title.alternativeFedere Kalman Süzgeci ile Iç Mekanda Konum Belirlemeen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication3b717ed5-ce95-4f19-b9d0-f544789c28da
relation.isAuthorOfPublication.latestForDiscovery3b717ed5-ce95-4f19-b9d0-f544789c28da

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