Fault Tolerant Indoor Positioning Based on Federated Kalman Filter
| dc.contributor.author | Ayabakan, Tarik | |
| dc.contributor.author | Kerestecioglu, Feza | |
| dc.contributor.other | Computer Engineering | |
| dc.contributor.other | 05. Faculty of Engineering and Natural Sciences | |
| dc.contributor.other | 01. Kadir Has University | |
| dc.date.accessioned | 2024-06-23T21:38:16Z | |
| dc.date.available | 2024-06-23T21:38:16Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | In this article, multi-sensor indoor positioning, which is based on fusing tri-laterated position data of the target, is considered. A novel method, which is based on federated Kalman filtering and makes use of the fingerprint data, namely, federated Kalman filter with skipped covariance updating (FKF-SCU) is proposed. The data collected on two test beds are used in comparing the performances of the proposed algorithm and that of the regular federated filter. It is shown that the proposed algorithm provides fault tolerance and quick recovery, whenever signal reception from an access point is interrupted, as well as an improvement of 12.57% on the position accuracy. | en_US |
| dc.identifier.citationcount | 0 | |
| dc.identifier.doi | 10.1007/s11265-024-01913-y | |
| dc.identifier.issn | 1939-8018 | |
| dc.identifier.issn | 1939-8115 | |
| dc.identifier.scopus | 2-s2.0-85188838724 | |
| dc.identifier.uri | https://doi.org/10.1007/s11265-024-01913-y | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/5777 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.ispartof | Journal of Signal Processing Systems | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Indoor positioning | en_US |
| dc.subject | Federated Kalman filter | en_US |
| dc.subject | Sensor fusion | en_US |
| dc.subject | Fault tolerance | en_US |
| dc.title | Fault Tolerant Indoor Positioning Based on Federated Kalman Filter | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Kerestecioğlu, Feza | |
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| gdc.description.department | Kadir Has University | en_US |
| gdc.description.departmenttemp | [Ayabakan, Tarik] NATO, Joint Forces Command, NL-6445 PA Brunssum, Netherlands; [Kerestecioglu, Feza] Kadir Has Univ, Dept Comp Engn, TR-34083 Istanbul, Turkiye | en_US |
| gdc.description.endpage | 285 | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q2 | |
| gdc.description.startpage | 273 | |
| gdc.description.volume | 96 | |
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