Indoor Positioning Using Federated Kalman Filter

dc.contributor.authorKerestecioğlu, Feza
dc.contributor.authorKerestecioğlu, Feza
dc.date.accessioned2021-01-25T18:15:54Z
dc.date.available2021-01-25T18:15:54Z
dc.date.issued2018
dc.description.abstractIn this paper, the performance of a multi-sensor fusion technique, namely Federated Kalman Filter (FKF) is studied in the context of indoor positioning problem. Kalman filters having centralized and decentralized structures are widely used in outdoor positioning and navigation applications. Global Positioning System (GPS) is the most commonly used system for outdoor positionin/navigation, which cannot be used indoors due to the signal loss. In this study, a decentralized structure for FKF is applied in indoor positioning problem by taking its outdoor navigation performance into consideration. Simulations are performed with distance measurements, which are assumed to be calculated by using Received Signal Strength (RSS). Results gathered via different simulations are evaluated as promising for future studies.en_US
dc.identifier.citation0
dc.identifier.doi10.1109/UBMK.2018.8566652en_US
dc.identifier.endpage488en_US
dc.identifier.isbn9781538678930
dc.identifier.scopus2-s2.0-85060597135en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage483en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3732
dc.identifier.urihttps://doi.org/10.1109/UBMK.2018.8566652
dc.identifier.wosWOS:000511448500280en_US
dc.identifier.wosqualityN/A
dc.institutionauthorKerestecioǧlu, Fezaen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.journalUBMK 2018 - 3rd International Conference on Computer Science and Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectdata fusionen_US
dc.subjectFederated Kalman filteren_US
dc.subjectindoor positioningen_US
dc.titleIndoor Positioning Using Federated Kalman Filteren_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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