• Sorted by Date • Sorted by Last Name of First Author •
Hou, Cong, Jin, Xiaojun, Yang, Xiaopeng, and Xiao, Tong, 2025. Toward Robust GNSS Real-Time Orbit Determination for Microsatellites Using Factor Graph Optimization. Remote Sensing, 17(7):1125, doi:10.3390/rs17071125.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025RemS...17.1125H,
author = {{Hou}, Cong and {Jin}, Xiaojun and {Yang}, Xiaopeng and {Xiao}, Tong},
title = "{Toward Robust GNSS Real-Time Orbit Determination for Microsatellites Using Factor Graph Optimization}",
journal = {Remote Sensing},
keywords = {microsatellite, real-time orbit determination, GNSS, factor graph optimization, sliding window},
year = 2025,
month = mar,
volume = {17},
number = {7},
eid = {1125},
pages = {1125},
abstract = "{Extended Kalman Filter (EKF) is extensively employed in Global
Navigation Satellite System (GNSS)-based real-time orbit
determination (RTOD) for microsatellites due to its low
complexity. However, the performance of EKF-RTOD is markedly
degraded when the microsatellite deviates from a stable Earth-
pointing attitude and employs a low-cost receiver. Factor graph
optimization (FGO), which addresses nonlinear problems through
multiple iterations and re-linearization, has demonstrated
superior accuracy and robustness compared to EKF in challenging
environments such as urban canyons. In this study, we introduce
a novel FGO-based RTOD (FGO-RTOD) approach, which integrates
state transfer factors to establish temporal connections between
state nodes across multiple epochs. Real-time processing is
achieved through a sliding window mechanism combined with
marginalization. This paper evaluates the performance of the
proposed algorithm in a regular scenario using data from GRACE-
FO-A, which maintains the Earth-pointing attitude and employs a
high-performance receiver. The positioning results of GRACE-FO-A
indicate that FGO-RTOD marginally outperforms EKF-RTOD in
accuracy. Furthermore, the performance of FGO-RTOD is assessed
in challenging scenarios using simulation data and on-orbit data
from Tianping-2B microsatellite, which is not in an Earth-
pointing attitude and employs a low-cost receiver. The
simulation results reveal that FGO-RTOD reduces the Root Mean
Square (RMS) of positioning error by 79.0\% relative to EKF-RTOD
and exhibits significantly enhanced smoothing. In the
Tianping-2B experiments, FGO-RTOD reduces the RMS of carrier-
phase ionosphere-free combination residuals from 2 cm to 1 cm
relative to EKF-RTOD, alongside a substantial improvement in the
ratio of valid observations. These findings underscore the
effectiveness of FGO-RTOD in managing outlier measurements in
challenging scenarios.}",
doi = {10.3390/rs17071125},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.1125H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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