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对光学观测卫星的贝叶斯适应扩展卡尔曼轨道确定
Yang Guo1, Qinghao Pang1, Xianlong Yin1
1Shandong Key Laboratory of Space Debris Monitoring and Low-Orbit Satellite Networking, Qingdao University of Technology, Qingdao 266520, China.
Sensors (Basel, Switzerland)
|April 26, 2025
概括
精确的卫星跟踪对于太空安全至关重要. 一种新的贝叶斯自适应扩展卡尔曼波器 (BAEKF) 比传统方法提高了34.7%的轨道确定精度,提高了空间局势意识.
科学领域:
- 航空航天工程 航空航天工程
- 天体动力学是指天体动力学.
- 空间 情境意识 空间 情境意识
背景情况:
- 在低地球轨道 (LEO) 上增加的卫星数量和空间碎片需要精确的轨道确定.
- 基于地面的光学观测面临数据限制和噪声的限制,挑战传统的扩展卡尔曼波器 (EKF) 精度.
研究的目的:
- 利用光学观测开发一种更准确,更强大的方法,用于高精度的轨道测定.
- 在复杂的轨道环境中克服扩展卡尔曼波器 (EKF) 的局限性.
主要方法:
- 提出了一个贝叶斯适应扩展卡尔曼波器 (BAEKF).
- BAEKF通过动态噪声协差调整和贝叶斯后期概率校正优化了轨道确定.
- 评估了与传统EKF,无气味卡尔曼波器 (UKF),辐射基函数神经网络 (RBFNN) 和高斯过程回归 (GPR) 相比的性能.
主要成果:
- 与传统的EKF相比,BAEKF显示了根平均平方误差 (RMSE) 的平均减少34.7%.
- 在非线性系统中,BAEKF的精度和稳定性得到了显著改善.
- UKF,RBFNN和GPR也显示了性能提升.
结论:
- 拟议的BAEKF提供了一种可靠的解决方案,用于从光学观测中高精度地确定轨道.
- 在复杂的空间环境中,BAEKF有效地解决了传统EKF固有的准确性和稳定性问题.
- 这一进步有助于更安全的航天器操作和增强的空间局势意识.
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