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在采用天文光学自主导航方式进行深空探测时,导航星的视星等高,为获取清晰的星图,星敏感器焦距长、曝光时间长,同时受探测器多种运动复合的影响,星图易产生模糊拖尾现象,很难用基于硬件的常规方法有效复原。研究复合运动模糊星图的建模方法,可揭示星敏感器与导航星的真实相对运动对星图像质的影响规律,从而用软件算法复原高像质星图,提高星敏感器的动态性能。由于缺乏确定的参数模型,复合运动模糊星图建模难度较大。提出了一种基于可分离模糊核的复合运动模糊星图建模的新方法,研究星敏感器角运动和角振动对成像的影响,并与常用的分步模糊方法比较。仿真表明:基于可分离模糊核方法的仿真星图更符合星敏感器实际运动对星图退化的影响;星敏感器的复合运动特别是旋转运动对质心提取效果具有显著影响,严重时会导致星敏感器无法定姿。
In the astronomical optical autonomous navigation way for deep space exploration, the navigation star apparent magnitude contour, in order to obtain a clear star map, the star sensor focal length is long, exposure time is long, at the same time by a variety of detector complex motion effects, the star Figure easy to produce fuzzy trailing phenomenon, it is difficult to use hardware-based conventional methods effectively restored. Studying the modeling method of compound motion blurred star map can reveal the influence law of the star relative motion of the star sensor and the navigation star on the star image quality, so as to restore the high-quality star image by the software algorithm and improve the dynamic performance of the star sensor. Due to the lack of a certain parameter model, composite motion-blurred star map modeling is more difficult. A new method based on separable fuzzy kernel for composite motion-blurred star map modeling is proposed. The effects of angular motion and angular vibration of the star-sensor on imaging are studied and compared with the conventional step-by-step fuzzy method. The simulation results show that the simulated star map based on the detachable fuzzy kernel method is more in line with the actual movement of the star sensor on the degeneration of the star image. The complex movement of the star sensor, especially the rotational movement, has a significant effect on the extraction of centroids, Sensor can not pose.