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提出一种基于星间角距不变原理的多视场(FOV)星敏感器结构参数标定方法.这种方法以欧拉角表征多视场星敏感器各个子视场之间的旋转关系,利用识别得到的各个视场星点的坐标信息和赤经赤纬信息,计算出多对星光矢量来建立标定模型和目标函数,然后使用L-M算法优化目标函数并解算出各个子视场之间的结构参数.此方法不需要外部姿态测量仪器辅助,可用于在轨和地面标定.在全天球随机抽取多个姿态生成多视场的仿真星图用于标定,并采用星内角统计偏差作为结构参数标定精度的评价指标.这种方法能够准确求解多视场星敏感器的结构参数.星内角统计偏差的平均值在星点位置噪声标准差为0.1像素的仿真试验中为1.3″,在外场观星的实际试验中为6.4″.
A calibration method of structural parameters of multi-field (FOV) star sensors based on the principle of constant angular spacing between stars is proposed, which uses Euler angles to characterize the rotation relationship between multi-field star sensors. Using the identified coordinate information of each field of view field and the declination declination information, a number of pairs of star light vectors are calculated to establish the calibration model and the objective function. Then the LM algorithm is used to optimize the objective function and solve the problem of This method does not require the aid of external attitude measurement instruments and can be used for calibration on the orbit and the ground.All the random star images of multi-fields are used to generate multi-field artificial satellite images for calibration and the statistical deviation of the internal angle is used as the structure Parameter calibration accuracy of the evaluation index.This method can accurately solve the multi-field star sensor structure parameters.The average statistical deviation of the internal angle of the star position noise standard deviation of 0.1 pixel simulation test is 1.3 "in the field Stargazers in the actual test 6.4.