Aerospace Contrd and Application ›› 2020, Vol. 46 ›› Issue (5): 42-50.doi: 10.3969/j.issn.1674-1579.2020.05.006
Previous Articles Next Articles
Robust Method for Short Arc Correlation of Low Orbit Objects
Online:
Published:
Abstract:
The deployment of a large number of loworbit constellations that will complete in the future has higher requirements for traditional space surveillance. The wideangle optical telescope system can monitor a wide area and observe more objects at the same time. However, most of the observation sequences are “short arc” observations, and a single sequence cannot determine the initial orbit of a space object. The current effective solution is to accurately correlate the optical observation arcs and fuse multiple observations for initial orbit determination. The orbits of two short arcs are optimized based on the admissible region method and the chisquare test is combined to determine the correlation between different observations. Secondly, the illposed problems are described for loworbit satellites in detail when anglesonly observations is used for correlation. Finally, given the high error rate of the loworbit object shortarc correlation, a method is proposed for identifying the wrong correlation based on the angular error characteristics.
Key words: short arc correlation')">
short arc correlation, angles only, ill conditioned, admissible region, error characteristic
CLC Number:
JIANG Ping, ZHANG Yasheng, TAO Xuefeng, LI Zhi, XU Can, FANG Yuqiang, WANG Hao.
Robust Method for Short Arc Correlation of Low Orbit Objects [J].Aerospace Contrd and Application, 2020, 46(5): 42-50.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
URL: https://journal01.magtech.org.cn/Jwk3_kjkzjs/EN/10.3969/j.issn.1674-1579.2020.05.006
https://journal01.magtech.org.cn/Jwk3_kjkzjs/EN/Y2020/V46/I5/42
Acceleration Estimation of a Maneuvering Target Using Interacting Multiple Model Robust Filter [J]. Aerospace Contrd and Application, 2020, 46(5): 51-58.
Interval Parameterization Method for Spacecraft Attitude Control [J]. Aerospace Contrd and Application, 2020, 46(5): 59-64.
Gyroscope Noise Reduction Method Based on Deep Circulation Neural Networks [J]. Aerospace Contrd and Application, 0, (): 65-72.
Gyroscope Noise Reduction Method Based on Deep Circulation Neural Networks [J]. Aerospace Contrd and Application, 2020, 46(5): 65-72.
Friction Torque Characteristics of Control Moment Gyros Bearing Unit [J]. Aerospace Contrd and Application, 0, (): 73-80.
Cited
Analysis on Midcourse Correction of Translunat Trajectory for CE-1