红外与激光工程, 2017, 46 (2): 0226001, 网络出版: 2017-03-31   

实现弱星提取及质心定位的帧间窗口移位灰度叠加法

Inter-frame shifted window gray superposition method of dim star image extraction and centroiding
作者单位
1 北京航空航天大学 宇航学院, 北京 100191
2 北京理工大学 信息与电子学院, 北京 100081
摘要
星敏感器在动态跟踪模式下, 移位星像的信噪比衰减, 弱星难以提取, 当探测星数降为2颗时, 定姿误差加大。鉴于对齐灰度叠加不能显著提高动态星像的信噪比, 故提出一种帧间窗口移位灰度叠加法。通过对备选弱星窗口灰度数据进行流水缓存并移位叠加, 增强弱星灰度及信噪比, 使其满足探测阈值条件, 确保星敏感器视场中始终保持不少于3颗星。仿真结果表明: 4帧灰度叠加后弱星信噪比较单帧星图提高了1倍多, 增加一颗观测星后定姿精度更高。
Abstract
In the dynamic tracking mode of a star sensor, the signal noise ratio(SNR) of the shifted star image attenuates resulting in difficulty of dim star extraction. When the number of extracted stars drops to 2, attitude error increases. Obviously for the dynamic star image the aligned pixel gray superposition method was incapable of increasing its SNR remarkably, so a novel inter-frame shifted window gray superposition method was proposed instead. This novel method raised the gray level and the SNR of a dim star by means of superposing pixel gray of inter-frame window area, in a shifted style rather than an aligned one, during which the gray data of the shifted windows of several successive frames were stored into a cache in a pipeline mode. So the peak gray value of a dim star was enhanced and turned to be over the detecting threshold, and no less than 3 stars in the FOV can be finally guaranteed to be used in attitude calculation. The simulation results manifest that the SNR of the dim star image is increased more than 1 times after applying the new algorithm with 4 frames, thus a higher precision can be achieved by the three-star improved attitude determination due to the added one star.

高自谦, 王海涌, 高洪民, 秦天沐, 李晶津. 实现弱星提取及质心定位的帧间窗口移位灰度叠加法[J]. 红外与激光工程, 2017, 46(2): 0226001. Gao Ziqian, Wang Haiyong, Gao Hongmin, Qin Tianmu, Li Jingjin. Inter-frame shifted window gray superposition method of dim star image extraction and centroiding[J]. Infrared and Laser Engineering, 2017, 46(2): 0226001.

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