Abstract：Aimed at measurement delay in the narrow field of view (NFOV) star sensor used for attitude estimation, a robust extended Kalman filter (REKF) algorithm is proposed to solve the measurement delay. According to the minimum mean square error criterion, the minimum upper bound of the variance is solved and the filter gain is determined by the minimum upper bound. The designed REKF algorithm can effectively solve the problem of measurement delay and improve the accuracy of attitude estimation. Finally, the simulation results show that the algorithm is superior to the conventional additive robust extended Kalman filter (AEKF), robust finite-horizon filter (RFHF) and robust Kalman filter (RKF) algorithm, which can better solve the problem of measurement delay in nonlinear systems, and the effectiveness of the algorithm is verified.
钱华明, 王迪, 吴永慧, 黄智开. 小视场星敏感器量测延时滤波算法[J]. 北京航空航天大学学报, 2019, 45(2): 234-242.
QIAN Huaming, WANG Di, WU Yonghui, HUANG Zhikai. Filtering algorithm of NFOV star sensor measurement delay. JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2019, 45(2): 234-242.
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2019, Vol. 45 
