Real-Time Orbit Determination of Micro–Nano Satellite Using Robust Adaptive Filtering
Author Information
Author(s): Chen Jing, Jin Xiaojun, Hou Cong, Zhu Likai, Xu Zhaobin, Jin Zhonghe
Primary Institution: Zhejiang University
Hypothesis
Can a modified robust adaptive hierarchical filtering algorithm improve orbit determination accuracy for micro-nano satellites in challenging environments?
Conclusion
The proposed IARKF algorithm significantly enhances orbit determination accuracy for micro-nano satellites, outperforming traditional methods.
Supporting Evidence
- The IARKF algorithm improves positioning accuracy by 40.2% in slow-rotation scenarios.
- In stable conditions, the IARKF achieves an approximate 85.3% improvement over its performance in slow-rotation scenarios.
- The three-axes orbit determination internal consistency precision can reach the millimeter level.
Takeaway
This study shows a new way to help small satellites find their position more accurately, even when their GPS signals are weak.
Methodology
The study employs a modified robust adaptive hierarchical filtering algorithm validated using on-orbit GPS data from a micro-nano satellite.
Limitations
The study does not address the performance of the algorithm in all possible dynamic scenarios.
Digital Object Identifier (DOI)
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