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微纳米卫星的实时轨道确定使用强大的自适应过
Jing Chen1,2, Xiaojun Jin1,2, Cong Hou1,2
1Huanjiang Laboratory, School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
一个新的惯性辅助自适应强硬卡尔曼波器 (IARKF) 改善了GPS轨道确定面临信号损失和不稳定的微纳米卫星. 这种强大的算法达到毫米级的精度,优于传统的过器.
科学领域:
- 航空航天工程 航空航天工程
- 卫星导航 卫星导航 卫星导航
- 控制系统 控制系统
背景情况:
- 微纳米卫星在态度演习时经常遇到低性能GPS接收器的挑战.
- 弱GPS信号和态势不稳定性影响这些小型卫星的精确轨道确定 (POD).
研究的目的:
- 为微纳米卫星中增强的基于GPS的POD开发和评估一个修改后的强大的自适应层次过算法.
- 在动态和具有挑战性的空间环境中提高过算法的适应性和稳定性.
主要方法:
- 提出了一种新的惯性辅助自适应稳固卡尔曼波器 (IARKF),结合了强大的自适应波和色记忆加权方法.
- 为了灵活调整参数,实施了细分自适应过策略.
- 在轨道上的GPS数据从微纳米卫星在缓慢旋转和地球指向稳定过程中被分析.
主要成果:
- 与传统的扩展卡尔曼过器 (EKF) 和其他改进的算法相比,IARKF表现出更高的性能.
- 该算法有效地减少了适配后的残留物,并提高了轨道预测的准确性.
- 三轴轨道测定内部一致性精度达到毫米级.
结论:
- IARKF算法为微纳米卫星的高性能轨道确定提供了强大的和可行的方法.
- 拟议的方法增强了适应动态环境,GPS信号较弱和卫星态度不稳定的适应性.
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