传感器过饱和条件下的星像点细分定位  

The Sensor over Saturated Condition of Star Point Subdivision Positioning

作　　者：贾瑞明[1] 马晓蕾[1] 郝云彩[2] 

机构地区：[1]北方工业大学电子信息工程学院,北京100144 [2]北京控制工程研究所空间智能控制技术国家重点实验室,北京100190

出　　处：《光电工程》2016年第10期36-41,共6页Opto-Electronic Engineering

基　　金：国家自然科学基金资助项目(61174004)

摘　　要：本文针对星点成像中的过饱和现象,分析了星像点的点扩散函数(PSF)特性,建立了过饱和星像点能量分布模型,提出了一种过饱和星像点PSF相关算法。该算法首先确定与星像点目标区域相似度最好的PSF序列,通过找到该序列的最大值进行定位。仿真实验表明:在星像点有噪声的条件下,PSF相关法的定位误差低至0.05 pixel;在非对称PSF条件下,定位误差依然小于0.1 pixel,均比传统的质心法、曲面拟合等方法的定位精度高。According to the imaging process of star over saturation phenomenon, the characteristics of Point Spread Function（PSF） of star image points are analyzed, and the energy distribution model of over saturation star image is established, and a PSF correlation algorithm is proposed. The algorithm first identifies the PSF sequence with the best star regional similarity, positioning by finding the maximum value of the sequence. Simulation experiments show that the positioning error of the PSF correlation method is as low as 0.05 pixels under the condition that the star image points are noisy. Under the asymmetric PSF condition, the positioning error is still less than 0.1 pixels, which is higher than the traditional centroid method, surface fitting method and other methods.

关 键 词：制导与控制 能量分布 过饱和 PSF相关算法 质心法 

分 类 号：V448[航空宇航科学与技术—飞行器设计]