Autonomous State Estimation and Observability Analysis for the Taiji Formation Using High-Precision Optical Sensors

被引:0
|
作者
Wen, Bo [1 ,2 ,3 ]
Tang, Wenlin [2 ]
Peng, Xiaodong [1 ,2 ,4 ]
Yang, Zhen [2 ]
机构
[1] UCAS, Hangzhou Inst Adv Study, Sch Fundamental Phys & Math Sci, Hangzhou 310024, Peoples R China
[2] Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Taiji Lab Gravitat Wave Universe, Hangzhou 310024, Peoples R China
关键词
observability analysis; autonomous state estimation; space-based gravitational wave detection formation; cubature Kalman filter; ORBIT DETERMINATION; SPACE;
D O I
10.3390/s23218672
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In certain observation periods of navigation missions for the Taiji formation, ground observation stations are unable to observe the spacecraft, while the state of the spacecraft can be estimated through the utilization of dynamic equations simulated on prior knowledge. However, this method cannot accurately track the spacecraft. In this paper, we focus on appropriately selecting the available onboard measurement to estimate the state of the spacecraft of the Taiji formation. We design two schemes to explore the performance of the state estimation based on the interspacecraft interferometry measurements and the measurements obtained from the Sun sensor and the radial velocity sensor. The observability of the system is numerically analyzed using the singular value decomposition method. Furthermore, we analyze error covariance propagation using the cubature Kalman filter. The results show that using high-precision interspacecraft angle measurement can improve significantly the observability of the system. The absolute position and velocity of the spacecraft can be estimated respectively with an accuracy of about 3.1 km and 0.14 m/s in the first scheme, where the prior information of the precision of the position and velocity is respectively 100 km and 1 m/s. When the measurement from the radial velocity sensor is used in the second scheme, the estimation accuracy of the velocity can be improved about 18 times better than that in the first scheme.
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页数:16
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