Abstract:

Aiming at the problems which exist in the centralized real-time orbit determination method, such as strong dependence on computing center and poor robustness, this paper proposes a distributed real-time orbit determination algorithm on the basis of distributed hybrid information filtering (DHIF). By fusing the state information and measurement information of each station and its neighbors, the local real-time orbit determination can be carried out simultaneously. This algorithm can be applied to an observation network with multi-type sensors, and is adaptive to the locally unknown changes in the network. The simulation results indicate that the accuracy of the distributed orbit determination algorithm is better than that of single station information filtering, and the estimate of each station converges to a centralized estimate. The convergence speed of the local orbit determination depends on the topology of the communications.

Key words: Real-time orbit determination, Distributed system, Klaman filtering, Information fusion