Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Wang, Jinqian, Wu, Meifang, Wang, Kan, Zou, Min, and Yang, Xuhai, 2025. Influencing factors on real-time determination of LEO satellite clocks. Measurement Science and Technology, 36(6):066315, doi:10.1088/1361-6501/adddd0.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025MeScT..36f6315W,
author = {{Wang}, Jinqian and {Wu}, Meifang and {Wang}, Kan and {Zou}, Min and {Yang}, Xuhai},
title = "{Influencing factors on real-time determination of LEO satellite clocks}",
journal = {Measurement Science and Technology},
keywords = {LEO, real-time, clock determination, clock prediction},
year = 2025,
month = jun,
volume = {36},
number = {6},
eid = {066315},
pages = {066315},
abstract = "{Low Earth orbit (LEO)-augmented positioning, navigation, and timing
(PNT) has been a research hotspot in recent years, and high-
precision LEO real-time (RT) clocks are one of the essential
pre-conditions to enable single-receiver-based high-precision RT
PNT services. The precision of the RT LEO satellite clocks
typically needs to be considered from two aspects: (i) near-
real-time (NRT) clock determination based on onboard Global
Navigation Satellite System (GNSS) observation data; (ii) short-
term clock prediction to compensate for delays caused by
computation and transmission. While the latter part typically
causes only slight precision loss due to the short prediction
time, the former part majorly influences the RT LEO satellite
clock prediction. In this study, various factors that influence
NRT clock determination are analyzed using onboard GNSS
observations from the LEO satellite Gravity Recovery and Climate
Experiment Follow-On. Tests are performed with two processing
strategies, namely with a Kalman filter (KF) kinematic precision
orbit determination (POD) model and a reduced-dynamic (RD) POD
model with batch-least-squares (BLS) adjustment. The KF-based
processing is started at pre-defined times each round to hamper
bias influences of historical epochs. It is found that
shortening the observation arc length incurs minimal precision
loss, yet notably enhances computational efficiency. Shortening
the sampling interval improves clock precision while increasing
processing time. With an observation arc length of 6 h and a
sampling interval of 30 s, the RT clock precision is about 0.15
ns. Compared to the KF-based model, the BLS-based RD model is
typically more time-consuming but more precise. Shortening the
observation arc length can cause significant border effects in
the NRT BLS clock results.}",
doi = {10.1088/1361-6501/adddd0},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025MeScT..36f6315W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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