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dc.contributor.authorWang, K.
dc.contributor.authorEl-Mowafy, Ahmed
dc.contributor.authorYang, X.
dc.date.accessioned2023-10-09T04:24:18Z
dc.date.available2023-10-09T04:24:18Z
dc.date.issued2023
dc.identifier.citationWang, K. and El-Mowafy, A. and Yang, X. 2023. LEO Satellite Clock Modeling and Its Benefits for LEO Kinematic POD. Remote Sensing. 15 (12): 3149.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/93502
dc.identifier.doi10.3390/rs15123149
dc.description.abstract

High-accuracy Low Earth Orbit (LEO) satellite clock and orbital products are preconditions to realize LEO augmentation for high-accuracy GNSS-based positioning on the ground. There is a high correlation between the orbit and clock parameters in the kinematic Precise Orbit Determination (POD) process. While future LEO satellites are planned to be equipped with better clocks, the benefits of modeling high-stability LEO satellite clocks are not yet thoroughly investigated, particularly when mid- to long-term systematic effects induced by the complex LEO relativistic effects and the external environment remain in the clocks. Through clock modeling, this study attempts to reduce not only the short-term noise of radial kinematic orbits, but also mis-modeled effects caused by, e.g., real-time GNSS orbital and clock errors. To explore the benefits of clock modeling, the clocks need to be first detrended by the mid- to long-term systematic effects. While over-detrending limits the orbital improvements, weak detrending would also hamper strong clock modeling and easily lead to performance degradations. A balance between the strengths of the detrending and the model thus needs to be investigated for different clock types. In this study, the Piece-Wise Linear (PWL) model of different time lengths and a 2.5-state filter with different strengths (h values) are tested using real data from GRACE FO-1 with an Ultra-Stable Oscillator (USO) on board. Using the CNES real-time GPS products, it was found that when detrending the clocks with a smoothing window of 300 to 500 s, one could generally expect an improvement larger than 10% in the estimation of radial orbits when applying a PWL model with a length from 300 to 1200 s. Improvements of this size can also be expected when using the 2.5-state model with h−1 (for Flicker Frequency Noise) from 10−28 to 10−30.

dc.relation.sponsoredbyhttp://purl.org/au-research/grants/arc/DP190102444
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleLEO Satellite Clock Modeling and Its Benefits for LEO Kinematic POD
dc.typeJournal Article
dcterms.source.volume15
dcterms.source.number12
dcterms.source.titleRemote Sensing
dc.date.updated2023-10-09T04:24:15Z
curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidEl-Mowafy, Ahmed [0000-0001-7060-4123]
curtin.identifier.article-number3149
dcterms.source.eissn2072-4292
curtin.contributor.scopusauthoridEl-Mowafy, Ahmed [7004059531]
curtin.repositoryagreementV3


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