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EKF-Based Doppler Positioning in Single LEO Satellite System

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dc.contributor.authorLee, JeongHang-
dc.contributor.authorKang, Jeongwan-
dc.contributor.authorKim, Sunwoo-
dc.date.accessioned2025-03-11T01:00:11Z-
dc.date.available2025-03-11T01:00:11Z-
dc.date.issued2025-01-
dc.identifier.issn2162-1233-
dc.identifier.issn2162-1241-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/206727-
dc.description.abstractIn this paper, we propose an extended Kalman filter(EKF)-based Doppler positioning in a single low-earth orbit (LEO) satellite system. Due to the high mobility of LEO satellites, the usability of velocity-based measurements is essential. The proposed algorithm estimates the receiver's position using EKF based on Doppler measurements obtained from the position and velocity information of a single satellite. Subsequently, the positioning performance according to the sampling rate and carrier-to-noise ratio is verified through simulation. The results of EKF position estimation utilizing Doppler measurements in a single LEO satellite scenario are verified through simulations.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE Computer Society-
dc.titleEKF-Based Doppler Positioning in Single LEO Satellite System-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ICTC62082.2024.10827581-
dc.identifier.scopusid2-s2.0-85217671150-
dc.identifier.bibliographicCitationInternational Conference on ICT Convergence, pp 1294 - 1297-
dc.citation.titleInternational Conference on ICT Convergence-
dc.citation.startPage1294-
dc.citation.endPage1297-
dc.type.docTypeConference paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusOrbits-
dc.subject.keywordPlusTropics-
dc.subject.keywordAuthorDoppler positioning-
dc.subject.keywordAuthorextended Kalman filter-
dc.subject.keywordAuthorLEO-Pnt-
dc.subject.keywordAuthorsingle satellite-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/10827581-
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