Indoor Positioning Using Federated Kalman Filter
| gdc.relation.journal | UBMK 2018 - 3rd International Conference on Computer Science and Engineering | en_US |
| dc.contributor.author | Ayabakan, Tarık | |
| dc.contributor.author | Kerestecioğlu, Feza | |
| dc.date.accessioned | 2021-01-25T18:15:54Z | |
| dc.date.available | 2021-01-25T18:15:54Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | In 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.citationcount | 0 | |
| dc.identifier.doi | 10.1109/UBMK.2018.8566652 | en_US |
| dc.identifier.isbn | 9781538678930 | |
| dc.identifier.scopus | 2-s2.0-85060597135 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/3732 | |
| dc.identifier.uri | https://doi.org/10.1109/UBMK.2018.8566652 | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2018 3rd International Conference on Computer Science and Engineering (UBMK) | |
| dc.rights | info:eu-repo/semantics/embargoedAccess | en_US |
| dc.subject | data fusion | en_US |
| dc.subject | Federated Kalman filter | en_US |
| dc.subject | indoor positioning | en_US |
| dc.title | Indoor Positioning Using Federated Kalman Filter | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Kerestecioǧlu, Feza | en_US |
| gdc.author.institutional | Kerestecioğlu, Feza | |
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| gdc.description.endpage | 488 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 483 | en_US |
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| gdc.oaire.keywords | data fusion | |
| gdc.oaire.keywords | Indoor positioning | |
| gdc.oaire.keywords | Outdoor navigation | |
| gdc.oaire.keywords | indoor positioning | |
| gdc.oaire.keywords | Federated Kalman filters | |
| gdc.oaire.keywords | Data fusion | |
| gdc.oaire.keywords | Federated Kalman filter | |
| gdc.oaire.keywords | Federated kalman filter | |
| gdc.oaire.keywords | Outdoor positioning | |
| gdc.oaire.keywords | Decentralized structures | |
| gdc.oaire.keywords | Indoor positioning systems | |
| gdc.oaire.keywords | Multi-sensor fusion techniques | |
| gdc.oaire.keywords | Kalman filters | |
| gdc.oaire.keywords | federated Kalman filter | |
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