• Sorted by Date • Sorted by Last Name of First Author •
Zhang, Ruwei, Zhang, Wanwei, Shao, Xiaowei, Wang, Fuhong, Yu, Yong, Li, Mingzhe, Gong, Xuewen, and Zhou, Pei, 2026. Precise real–time orbit determination for LEO satellites using accelerometer data as observations. Advances in Space Research, 78(3):2988–3002, doi:10.1016/j.asr.2026.05.070.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026AdSpR..78.2988Z,
author = {{Zhang}, Ruwei and {Zhang}, Wanwei and {Shao}, Xiaowei and {Wang}, Fuhong and {Yu}, Yong and {Li}, Mingzhe and {Gong}, Xuewen and {Zhou}, Pei},
title = "{Precise real-time orbit determination for LEO satellites using accelerometer data as observations}",
journal = {Advances in Space Research},
keywords = {Low earth orbit (LEO), Accelerometer observations, Broadcast ephemeris, Real-time orbit determination (RTOD), Geomagnetic disturbances},
year = 2026,
month = aug,
volume = {78},
number = {3},
pages = {2988-3002},
abstract = "{Accurate and stable real-time orbit determination (RTOD) for Low-Earth
Orbit (LEO) satellites is essential for diverse scientific and
operational missions. However, conventional GPS-based RTOD
suffers substantial accuracy degradation during intense space-
environment disturbances, such as geomagnetic storms. Diverging
from conventional approaches that substitute non-conservative
force models with accelerometer data in dynamic models, in this
study we integrate accelerometer data as observations into the
RTOD filter. A first-order Gauss--Markov process establishes an
optimized stochastic model for empirical acceleration
estimation. The method was comprehensively validated using 200
days of GNSS, accelerometer, and attitude data from GRACE-FO and
SWARM-C satellites during 2024 solar maximum conditions.
Compared to conventional GPS-based RTOD without accelerometer
data, adding accelerometer data reduces the 3D position RMS
error by at least 30\%, specifically, accuracy improved from
0.415 m to 0.287 m for GRACE-C and from 0.455 m to 0.298 m for
SWARM-C. In general, this approach significantly enhances RTOD
accuracy, stability, and robustness in harsh space environments
while substantially reducing sensitivity to geomagnetic
disturbances.}",
doi = {10.1016/j.asr.2026.05.070},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026AdSpR..78.2988Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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