16mv精细导星星库构建与评价
发布时间：2018-10-15 11:20
【摘要】：精细导星星库是空间大口径望远镜开展导星过程的必要组成部分,是用来确定空间望远镜视轴绝对指向的关键依据。基础星表的挑选、导星星库的容量、划分方式和天区搜索速度对于实现精细导星功能和性能指标都极为重要。在视场约为0.08deg2精度要求高的条件下,选用UCAC4星表作为基础星表,提出混合分区星等过滤算法进行导星筛选,为了实现星表的快速搜索,对导星星表的存取方式进行了详细分析,构建了一个由约400万颗10mv~16mv导星组成的精细导星星库,并进行星库均匀性和搜索速度分析。仿真结果表明,基于UCAC4星表构建的16mv精细导星星库全局均匀性达到0.44,导星搜索时间0.05s,视场中星数适中,能被高效识别的概率达到75.51%,可作为精细导星星图识别的基准,支撑未来大口径空间望远镜的观测。
[Abstract]:The fine star database is a necessary part of the space telescope to guide the star, and is the key basis for determining the absolute direction of the space telescope's axis of view. The selection of the basic star catalog, the capacity of the guide star library, the partition method and the search speed of the sky area are all very important for the realization of the fine guide star function and performance index. Under the condition that the field of view is about high precision of 0.08deg2, the UCAC4 catalog is selected as the basic catalog, and the mixed partition magnitude filtering algorithm is proposed to filter the guide stars. In order to realize the fast search of the star catalog, the access mode of the guide star table is analyzed in detail. A fine guide star library consisting of about 4 million 10mv~16mv guide stars was constructed, and the uniformity and search speed of the database were analyzed. The simulation results show that the global uniformity of the 16mv fine guide star database based on the UCAC4 catalog is 0.44, the guide search time is 0.05 s, the number of stars in the field of view is moderate, and the probability of recognition can be reached to 75.51, which can be used as a benchmark for fine star map recognition. To support future observations of large-aperture space telescopes.
【作者单位】： 中国科学院上海技术物理研究所;中国科学院大学;中国科学院红外探测与成像重点实验室;
【基金】：国家自然科学基金资助项目(40776100)
【分类号】：P111
[Abstract]:The fine star database is a necessary part of the space telescope to guide the star, and is the key basis for determining the absolute direction of the space telescope's axis of view. The selection of the basic star catalog, the capacity of the guide star library, the partition method and the search speed of the sky area are all very important for the realization of the fine guide star function and performance index. Under the condition that the field of view is about high precision of 0.08deg2, the UCAC4 catalog is selected as the basic catalog, and the mixed partition magnitude filtering algorithm is proposed to filter the guide stars. In order to realize the fast search of the star catalog, the access mode of the guide star table is analyzed in detail. A fine guide star library consisting of about 4 million 10mv~16mv guide stars was constructed, and the uniformity and search speed of the database were analyzed. The simulation results show that the global uniformity of the 16mv fine guide star database based on the UCAC4 catalog is 0.44, the guide search time is 0.05 s, the number of stars in the field of view is moderate, and the probability of recognition can be reached to 75.51, which can be used as a benchmark for fine star map recognition. To support future observations of large-aperture space telescopes.
【作者单位】： 中国科学院上海技术物理研究所;中国科学院大学;中国科学院红外探测与成像重点实验室;
【基金】：国家自然科学基金资助项目(40776100)
【分类号】：P111
【参考文献】
相关期刊论文 前6条
1 崔祥祥;王宏力;陆敬辉;乔兴;邓长智;张勇;赵爱罡;;适用于小视场星敏感器的导航星表构建方法[J];红外与激光工程;2015年04期
2 陆敬辉;王宏力;袁宇;崔祥祥;许哲;;均匀快速的导航星选取方法[J];红外与激光工程;2015年01期
3 时圣革;雷肖剑;于长海;;星图识别三角形算法综述[J];光电技术应用;2014年05期
4 李辉;王安国;张磊;;改进金字塔算法用于小视场星图识别[J];应用光学;2013年02期
5 朱长征;居永忠;杜晓辉;;导航星库制定方法研究[J];宇航学报;2010年05期
6 马涛;孙红辉;肖松;刘朝山;;基于BP神经网络的小样本星图识别方法[J];应用光学;2009年02期
【共引文献】
相关期刊论文 前10条
1 袁晓波;张超;时春霖;;一种改进的基于K矢量的星图识别算法[J];导航定位学报;2017年02期
2 赵sヰ，
本文编号：2272385
本文链接：https://www.wllwen.com/kejilunwen/tianwen/2272385.html
