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Compensation of Star Sensor's Low Frequency Error Based on Nonlinear Filtering Algorithm

机译:基于非线性滤波算法的星传感器低频误差补偿

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Low frequency error of star sensor that caused by the thermal distortion of star sensor and its installation structure is an important part of the star sensor's measurement error. And it is one of the most important factors that affect the satellite attitude determination accuracy and cannot be eliminated by traditional filtering method. In order to deal with this problem, a low frequency error compensation method for star sensor based on state estimation algorithm is used in this paper. The numerical simulation illustrates that the effect of the star sensor's low frequency error on attitude determination accuracy is effectively decreased by the proposed method.
机译:由星传感器的热失真和其安装结构引起的星传感器的低频误差是星传感器测量误差的重要组成部分。它是影响卫星姿态确定精度的最重要因素之一,不能通过传统的过滤方法消除。为了解决这个问题,本文使用了基于状态估计算法的星形传感器的低频误差补偿方法。数值模拟说明了所提出的方法有效地降低了星传感器的低频误差对姿态确定精度的效果。

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