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Probabilistic Adaptive Extended Kalman Filter for Satellite Localization in the Presence of Measurement Faults

dc.contributor.authorHajiyev, Chingiz
dc.contributor.authorErkec, Tuncay Yunus
dc.contributor.authorHacizade, Ulviye
dc.contributor.authorCilden Guler, Demet
dc.date.accessioned2026-08-20T21:13:21Z
dc.date.available2026-08-20T21:13:21Z
dc.date.copyright2025/08/23
dc.date.issued2025
dc.identifier.otherJAEEEZ.ASENG-6216.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314139
dc.description.abstractAbstractIn this study, a probabilistic adaptive filtering technique is described for the extended Kalman filter (EKF) algorithm, which is used to estimate low Earth orbit (LEO) satellite position, velocity, and clock bias using global navigation satellite ...
dc.publisherAmerican Society of Civil Engineers
dc.titleProbabilistic Adaptive Extended Kalman Filter for Satellite Localization in the Presence of Measurement Faults
dc.typeJournal Article
dc.journal.volume38
dc.journal.issue6
dc.journal.titleJournal of Aerospace Engineering
dc.identifier.doi10.1061/JAEEEZ.ASENG-6216
dc.journal.fristpage04025094-1
dc.journal.lastpage04025094-12
dc.page12
dc.treeJournal of Aerospace Engineering:;2025:;Volume ( 038 ):;issue: 006
dc.contenttypeFulltext


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