An information fusion algorithm for integrated autonomous orbit determination of navigation satellites

作者：Shang, Lin^*; Liu, Guohua; Zhang, Rui; Li, Guotong

来源：Acta Astronautica, 2013, 85: 33-40.

DOI：10.1016/j.actaastro.2012.12.007

• Autonomous orbit determination
• Information fusion
• Step Kalman filter
• URE

This paper focuses on the information fusion problem of integrated autonomous orbit determination using the observations from inter-satellite-link (ISL), X-ray pulsars and star sensors. A step Kalman filter structure is proposed to solve the information fusion problem of multiple subsystems that have greatly different filtering precision. The subsystems are grouped according to their measurement accuracy and the state parameters and covariance matrix of a group can be calculated using the federated filter structure and propagated to the next group step-by-step. Simulation results show that the mean user range error (URE) of the constellation will be less than 1.5 m in 60 days using the step Kalman filter structure for information fusion. And it has better performance than the federated structure in dealing with information fusion of the astronomical observations and the ISL ranging measurements in integrated autonomous orbit determination.

• 出版日期2013-5
• 单位中国科学院上海微系统与信息技术研究所