Research on the Method of Data Fusion Orbit Determination Based on TDRSS and Multi-Sensor

摘要

In this paper, we introduce an Extended Federated Kalman Filtering algorithm (EFKF) based on information fusion and conservation to study the autonomous orbit determination with TDRSS and multi-sensor measurement. The EFKF algorithm can fuse all useful information of every sensor to improve the precision of orbit determination. Simulation results show that the algorithm can enhance orbit determination precision, and the position error can be limited within 50 m, and the velocity error can be limited within 0.04 m/s.