Space-based passive tracking of non-cooperative space target using robust filtering algorithm

作者：Wu, Panlong; Zhou, Yang^*; Li, Xingxiu

来源：Proceedings of the Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering, 2016, 230(6): 551-561.

DOI：10.1177/0959651816637770

• Space-based passive tracking
• initial orbit determination
• modified Laplace's method
• sequential estimation
• robust square-root cubature Kalman filter

Commonly, a non-cooperative space target is tracked using angle-only data. An approach utilised in many tracking problems is to perform an initial orbit determination (IOD) step and then transition to sequential estimation. In this paper, a space-based passive tracking strategy is proposed that combines IOD and sequential estimation. For the space-based IOD problem, a modified Laplace's method is derived, in which the non-spherical effect of Earth is considered and more than three pairs of angle measurements are fused. For the sequential estimation, a robust filtering algorithm, termed the robust square-root cubature Kalman filter, is developed. An adaptive factor is introduced in the developed algorithm, to ensure robustness to measurement malfunctions. Simulation results demonstrate that the proposed strategy can be used in actual engineering applications.

• 出版日期2016-7
• 单位南京理工大学