基于纵向滤波的星敏感器低频误差在线估计

doi:10.7527/S1000-6893.2019.23163

Abstract

Abstract: It's an efficient way to enhance the attitude measurement accuracy by data fusion of multi-sensors, and the sensor's Low Frequency Error (LFE) should be calibrated before data fusion. First, the generating mechanism of the star tracker's LFE is introduced, and the reason why the LFE should be estimated online is explained. Second, considering the deficiency of the traditional algorithm in LFE estimation, the way of LFE estimation based on vertical filter is proposed. The proposed method turns the estimation of LFE into several constant errors, improving the accuracy of the estimation. Third, the detailed operation steps are given, and the physical significance and the se-lection principle of related parameters are explained. Theoretical analyses and simulations show that the error of this algorithm could be ignored. In-orbit data simulation shows that the orbital period LFE of the star tracker could be eliminated.

Key words: low frequency error, orbital period, vertical filter, online estimation, star tracker, data fusion

CLC Number:

V448.21

YE Lijun, LIU Fucheng, YIN Haining, XU Ying, BAOYIN Hexi. Online estimation of low frequency error for star tracker based on vertical filter[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(10): 323163-323163.

References 32

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Online estimation of low frequency error for star tracker based on vertical filter

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