Research on Sliding-Window Batch Processing Orbit Determination Algorithm for Satellite-to-Satellite Tracking Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.3390/aerospace12080662
In response to the increasing demand for high-precision navigation of satellites operating in the cislunar space, this study introduces an onboard orbit determination algorithm considering both convergence and computational efficiency, referred to as the Sliding-Window Batch Processing (SWBP) algorithm. This algorithm combines the strengths of data batch processing and the sequential processing algorithm, utilizing measurement data from multiple historical and current epochs to update the orbit state of the current epoch. This algorithm facilitates rapid convergence in orbit determination, even in instances where the initial orbit error is large. The SWBP algorithm has been used to evaluate the navigation performance in the Distant Retrograde Orbit (DRO) and the Earth–Moon transfer orbit. The scenario involves a low-Earth-orbit (LEO) satellite establishing satellite-to-satellite tracking (SST) links with both a DRO satellite and an Earth–Moon transfer satellite. The LEO satellite can determine its orbit accurately by receiving GNSS signals. The experiments show that the DRO satellite achieves an orbit determination accuracy of 100 m within 100 h under an initial position error of 500 km, and the transfer orbit satellite reaches an orbit determination accuracy of 600 m within 3.5 h under an initial position error of 100 km. When the Earth–Moon transfer satellite exhibits a large initial orbital error (on the order of hundreds of kilometers) or the LEO satellite’s positional accuracy is degraded, the SWBP algorithm demonstrates superior convergence speed and precision in orbit determination compared to the Extended Kalman Filter (EKF). This confirms the proposed algorithm’s capability to handle complex orbital determination scenarios effectively.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/aerospace12080662
- OA Status
- gold
- References
- 18
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4412909729Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/aerospace12080662Digital Object Identifier
- Title
-
Research on Sliding-Window Batch Processing Orbit Determination Algorithm for Satellite-to-Satellite TrackingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-07-25Full publication date if available
- Authors
-
Yingjie Xu, Xuan Feng, Shuanglin Li, Jie Pu, S.H. Chen, Wenbin WangList of authors in order
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-
https://doi.org/10.3390/aerospace12080662Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3390/aerospace12080662Direct OA link when available
- Concepts
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Satellite, Satellite tracking, Window (computing), Tracking (education), Computer science, Orbit (dynamics), Algorithm, Sliding window protocol, Remote sensing, Aerospace engineering, Engineering, Geology, Operating system, Psychology, PedagogyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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18Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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