Abstract
AbstractA novel method based on the least squares estimation and the augmented Kalman filter (KF) is proposed to identify and compensate for the star sensor measurement error due to the periodic star sensor alignment change. For the satellite attitude determination system, the periodic star sensor measurement error causes periodic variations in the gyroscope bias estimate. Thus, the gyroscope bias estimate is adopted as an indicator for the identification of the periodic star sensor measurement error. The high performance of the proposed method is illustrated through numerical simulations with the use of the real gyroscope data. It is shown that the proposed method is effective.
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