Autonomous navigation of the Mars approach based orbiters radiometric measurement

被引：0
作者：
Xiong, Xikun [1 ]
Wang, Hui [1 ]
Zhou, Qingrui [1 ]
机构：
[1] China Acad Space Technol, Qian Xuesen Lab Space Technol, Beijing 100094, Peoples R China
来源：
2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年
基金：
国家重点研发计划; 中国国家自然科学基金;
关键词：
deep space autonomous navigation; continuous discrete unscented Kalman filter; sensor fusion; NETWORK;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an autonomous navigation method for the approaching segment of the Mars exploration mission based on the radio measurement of the Mars orbiter is studied. The method uses the Mars orbiter as a radio beacon, and obtains observation data by measuring the relative distance and radial velocity of the rover and each orbiter. The continuous unscented Kalman filter and sensor fusion is adopt to solve for the observation occlusion problem between the orbiter and the rover. The observability of this navigation mode is also analyzed, and the influence of orbiters' parameters on the observability of the navigation method is discussed. Finally, we carried out the simulation analysis of the navigation scheme, and the results indicates the effectiveness of this navigation method.
引用
收藏
页码：3468 / 3473
页数：6
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