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针对振动环境中星敏感器曝光得到的模糊星像点质心提取精度低的问题,提出了惯性信息辅助的星像点质心提取模型并建立了相应的算法。算法以星像点区域的加权中心为曝光初始时刻的星像点质心,根据与星敏感器捷联的惯性设备测得的振动信息计算质心在曝光过程中的轨迹并利用星像点能量分布模型估计恒星的成像区域和加权中心,采用迭代的方法使得两加权中心重合,从而得到曝光结束时刻星像点质心的精确值。仿真分析了算法的质心提取精度及相关因素对提取精度的影响,结果表明算法在振动环境下仍可准确提取出星像点的质心,精度在百分之一像素左右,而且算法具有较好的适用性。
In view of the low precision of centroid extraction of the blurred star image obtained by the star sensor exposure in the vibration environment, a centroid point centroid extraction model with inertial information is proposed and a corresponding algorithm is established. The algorithm uses the weighted center of the star point area as the centroid of the star point at the initial exposure time and calculates the trajectory of the centroid during exposure according to the vibration information measured by the inertial device of the star sensor strapdown and uses the star point energy distribution model Estimating the imaging area and the weighted center of the star, the iterative method is used to make the two weighted centers coincide, so as to obtain the exact value of the centroid of the star at the end of exposure. The simulation results show that the algorithm can accurately extract the centroid of the star point with the accuracy of about 1%, and the algorithm has better performance applicability.