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EKF-Based Doppler Positioning in Single LEO Satellite System

Authors
Lee, JeongHangKang, JeongwanKim, Sunwoo
Issue Date
Jan-2025
Publisher
IEEE Computer Society
Keywords
Doppler positioning; extended Kalman filter; LEO-Pnt; single satellite
Citation
International Conference on ICT Convergence, pp 1294 - 1297
Pages
4
Indexed
SCOPUS
Journal Title
International Conference on ICT Convergence
Start Page
1294
End Page
1297
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/206727
DOI
10.1109/ICTC62082.2024.10827581
ISSN
2162-1233
2162-1241
Abstract
In 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.
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