基于偏正态分布的星点细分定位方法研究

发布时间：2017-12-28 09:31

本文关键词：基于偏正态分布的星点细分定位方法研究　出处：《激光与光电子学进展》2016年05期 　论文类型：期刊论文

【摘要】：为了解决星点在实际成像过程中能量分布的偏正态分布问题,提高星点中心的定位精度,提出了基于偏正态分布模型的点扩展函数(PSF)相关算法。该算法根据实际星图中星点的能量分布特征,建立与之相对应的PSF,利用相关的原理,找到与星点能量分布相似度最高的PSF,通过确定对应PSF的最大值位置实现对星点中心的定位。实验结果表明,在星图噪声为N(0,0.001)的仿真条件下,且星点中心在1pixel内随机分布时,偏正态PSF相关法的星点中心平均定位精度可达到0.04pixel,远小于质心法0.4pixel和高斯曲面拟合法的1.03pixel。由实验结果可知,该算法定位精度高于质心法和高斯曲面拟合法,具有较好的抗噪声性和稳定性,提高了星点中心定位精度。
[Abstract]:In order to solve the problem of normal distribution of energy distribution in the actual process of star spot, and improve the location accuracy of star center, a point spread function (PSF) algorithm based on partial normal distribution model is proposed. According to the energy distribution characteristics of the star points in the actual star map, the algorithm establishes PSF corresponding to it. Based on the relevant principles, we find the PSF with the highest similarity with the energy distribution of the star points, and locate the center of the star by determining the maximum value of the corresponding PSF. The experimental results show that when the star map noise is N (0,0.001), and the center of the star is distributed randomly within 1pixel, the center location accuracy of the normal PSF correlation method can reach 0.04pixel, which is much smaller than that of the centroid 0.4pixel and Gauss surface fitting method 1.03pixel. The experimental results show that the localization accuracy of the algorithm is better than the centroid method and Gauss surface fitting method, which has better noise immunity and stability, and improves the accuracy of star center location.
【作者单位】：北方工业大学电子信息工程学院;北京控制工程研究所空间智能控制技术国家重点实验室;
【基金】：国家自然科学基金(61174004)
【分类号】：V448.22
【正文快照】： 1引言星敏感器是一种以恒星为探测目标,广泛用于航天器的重要姿态测量部件,是航天器绝对姿态测量精051002-1度最高的器件。星点提取是星敏感器获得星像坐标的重要过程,其精度决定了星敏感器姿态测量的精度[1]。因此提高和优化星点中心定位精度是提高星敏感器姿态测量精度的基

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