Abstract:

An adaptive federated strong tracking cubature Kalman filter (STCKF) algorithm is proposed for satellite orbit determination of multiple hand-held terminals with only rate data. First, the improved Euler method is used to disperse the orbital dynamic equation with J2 perturbation. Then, the STCKF algorithm is designed for each terminal, which calculates the suboptimal fading factor based on the equivalent representation of strong tracking filter (STF) to adjust the gain matrix online. Then, local orbit determination result of each terminal is fused by the optimal fusion algorithm. In order to improve the accuracy of fusion, the information distribution factor is determined adaptively by Frobenius norm of error covariance matrix. Finally, the simulation results show that improved Euler method can achieve a higher discrete precision of orbital dynamics equation, and the adaptive federated STCKF algorithm can improve the accuracy and convergence speed of real-time orbit determination.