| Citation: | XU Qiang, FAN Xiaohu, XU Liguo, et al. TSKF algorithm for pulsar position error estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(4): 761-768. doi: 10.13700/j.bh.1001-5965.2019.0288(in Chinese)
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In order to improve the robustness of the pulsar position error estimation to the proper motion and satellite position error and the efficiency of the overall algorithm, a two-stage Kalman filter (TSKF) algorithm is designed. Firstly, the influences of pulsar proper motion and satellite position error on pulsar error estimation are analyzed, and the simulation results are verified by combining relevant algorithms. Secondly, based on the CV model and the principle of two-stage Kalman filter, the update equations of TSKF algorithm are derived, and the basic flow of parallel computing is analyzed. The data of the simulation experiment show that position accuracy of the TSKF algorithm is about 0.1 mas and corresponding proper motion accuracy is about 1.1 mas/a in the case of both proper motion and satellite position error. Compared with the estimation algorithm based on CV model, the floating point operation of TSKF algorithm only increases by 0.048%.
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