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A METHOD OF GUIDE STAR SELECTION FOR STAR IDENTIFICATION IN THE CONDITION OF HIGH BACKGROUND AND HIGH DYNAMIC

机译:高背景高动态条件下恒星识别的导星选择方法

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Star sensor uses star identification algorithm to get the inertial position information of the extracted stars in the image, and calculates the attitude by using the information. The Guide Star list is the important reference source for star identification. The quality of near infrared image taken by the star sensor in the condition of high background and high dynamic is worse than the visible one taken by CCD, with the problems such as the field of view is smaller, the detected star magnitude is higher, the background noise is more intensive, and the SNR is lower, and so on. A novel method of Guide Star selection which is trying to adapt to the above problems for star identification is proposed. The first, the stars which are not suitable to the star sensor are deleted on the base of astronomy star catalog, and then, a group of well-distributed dots on the surface of the unit sphere are gotten by making use of the regular polyhedron inscribed in a sphere, the equilateral triangle side segmentation, the spatial line projection, and so on. The next, a series of Guide Star selection regulations are designed corresponding to the parameters of star sensor optical and imaging system and star identification algorithm. And then, the stars are filtered by applying the above regulations to the star catalog in the circles of which the centers are the even dots on the sphere and the reference radius is the field of view of the star sensor. Finally, the needed Guide Stars list is obtained. Compared with the known, the Guide Star selection regulations and parameters of this method can be changed flexibly to adapt for the identification algorithm. Meanwhile, it substitutes the orthogonal coordinate system on the spherical surface for right ascension and declination, and thus the disadvantage of more stars on the low declination and few on the high declination is avoided. The simulation verifies that this method is simply calculated, adaptive, and the Guide Stars distributing uniformly. The result allows confirming its practical value in engineering.
机译:恒星传感器使用恒星识别算法来获取图像中提取的恒星的惯性位置信息,并利用该信息来计算姿态。导星表是恒星识别的重要参考来源。在高背景和高动态条件下,恒星传感器所拍摄的近红外图像质量要比CCD所拍摄的可见光图像差,存在诸如视场较小,检测到的恒星强度较高,背景噪声更密集,SNR更低,依此类推。提出了一种新的引导星选择方法,该方法试图适应以上问题进行恒星识别。首先,在天文学恒星目录的基础上删除不适合恒星传感器的恒星,然后利用刻有规则的多面体在单位球面上得到一组分布良好的点。在一个球体中,等边三角形边分割,空间线投影等。接下来,针对恒星传感器光学和成像系统的参数以及恒星识别算法,设计了一系列指导星选择规则。然后,通过将上述规则应用于恒星目录中的圆,以其圆心为球体上的偶数点,并且参考半径为恒星传感器的视场来对恒星进行过滤。最后,获得所需的指南星列表。与已知的方法相比,该方法的指南星选择规则和参数可以灵活地更改以适应识别算法。同时,它用球面上的正交坐标系代替了正确的上升和偏角,从而避免了低偏角时恒星较多而高偏角时恒星较少的缺点。仿真验证了该方法是简单计算的,自适应的,并且“引导星”均匀分布。结果可以确认其在工程中的实用价值。

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