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Research on SCKF Filtering Method Based on Six Elements of Orbit

  • HUANG Pu 1 ,
  • GUO Pu 2 ,
  • ZHANG Guoxue 2 ,
  • ZHANG Junfeng 2
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  • 1 State Key Laboratory of Astronautic Dynamics, Xi’an 710043, China
  • 2 Xi’an Satellite Monitor and Control Center, Xi’an 710043, China

Received date: 2019-04-04

  Online published: 2025-02-12

Abstract

In order to solve the problem of real-time orbit determination of cooperative spacecraft, the square root cubature Kalman filter (SCKF) method based on six elements of orbit is proposed. This method establishes a dynamic model for the six elements of the orbit. Considering the physical meaning of the initial variance, this method can set the filter parameters more accurately, thus improving the convergence and accuracy of the algorithm. At the same time, the method uses the improved Cubature Kalman filter method (SCKF) for state estimation. The simulation example shows that the method can effectively complete the real-time orbit determination, and the estimation accuracy and stability are better than the traditional method in the case of a priori information, which has engineering application value.

Cite this article

HUANG Pu , GUO Pu , ZHANG Guoxue , ZHANG Junfeng . Research on SCKF Filtering Method Based on Six Elements of Orbit[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2020 , 40(3) : 23 -26 . DOI: 10.15892/j.cnki.djzdxb.2020.03.006

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