基于交叠视场亮度优选算法的导航星库构建方法
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摘要
星敏感器导航星库直接影响星图识别效率和姿态解算精度。分析了参与姿态解算的星颗数和亮度对姿态精度影响,在此基础上,提出了一种基于交叠视场亮度优选算法的星敏感器导航星库构建方法。将精度较高的Hipparcos星表作为基础星表,分析了星等、双星、自行、变星等对姿态精度的影响,将星库筛选成一个备选星库,生成覆盖全天球的交叠视场。每个拥有较多星的视场,都按照亮度优先原则从视场内的扇形区域中选择导航星,从而得到分布均匀的导航星库。结果表明:该方法能有效减小星敏感器导航星库规模,实现导航星在全天球和局部天区的均匀分布。
Guide star database creation for the star sensor will have effects on star map identification time and attitude determination accuracy. Based on the analysis of the influence of star number of attitude determination and intensity on attitude accuracy, an algorithm of guide star database creation for the star sensor based on overlapping field of view(FOV) and intensity priority selection is proposed. Hipparcos which has high accuracy is selected as the basic table, the influence of star magnitude, double-star, proper motion and variable star on attitude accuracy has been analyzed, and then an alternative star database is screened out. In order to get an evenly distributed guide star database, overlapping FOVs covering all over the celestial sphere are generated to select the guide star in the fan section of the FOV which has many stars, according to the intensity priority selection principle. The experimental results show that the proposed method can not only effectively reduce the number of guide stars, but also realize uniform distribution of guide stars in the whole and partial celestial sphere.
Guide star database creation for the star sensor will have effects on star map identification time and attitude determination accuracy. Based on the analysis of the influence of star number of attitude determination and intensity on attitude accuracy, an algorithm of guide star database creation for the star sensor based on overlapping field of view(FOV) and intensity priority selection is proposed. Hipparcos which has high accuracy is selected as the basic table, the influence of star magnitude, double-star, proper motion and variable star on attitude accuracy has been analyzed, and then an alternative star database is screened out. In order to get an evenly distributed guide star database, overlapping FOVs covering all over the celestial sphere are generated to select the guide star in the fan section of the FOV which has many stars, according to the intensity priority selection principle. The experimental results show that the proposed method can not only effectively reduce the number of guide stars, but also realize uniform distribution of guide stars in the whole and partial celestial sphere.
引文
[1] 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, 31(5): 1327-1330.
[2] JOHN D V. Star trackers, star catalogs, and attitude determination: probabilistic aspects of system design[J]. Journal of Guidance, Control, and Dynamics, 1993, 16(3): 498-504.
[3] BARRY K, HINDMAN M, YATES R. Application of flight data to space shuttle CCD star tracker catalog design[C]//Proceedings of the Annual Rocky Mountain Guidance and Control Conference, 16th, Keystone,CO, NASA Johnson Space Center, Houston, TX, United States.1993: 57-70.
[4] 陈雪芬, 康国华. 基于ITSI优选算法的星敏感器导航星库建立[J]. 传感技术学报, 2015, 28(3): 381-386.
[5] 吴量, 王建立, 王昊京. 三视场天文导航视场间星图识别的导航星选取[J]. 光学精密工程, 2015, 23(6): 1732-1741.
[6] 郑胜, 吴伟仁, 田金文, 等. 一种新的导航星选取算法研究[J]. 宇航学报, 2004, 25(1): 35-40.
[7] HYE Y K, JUNKINS L. Self-organizing guide star selection algorithm for star tracker; thinning method[C]//IEEE on Aerospace Conference Proceeding, Big Sky, Montana:IEEE, 2002: 2275-2283.
[8] 李立宏, 林涛, 宁永臣, 等. 一种改进的全天自主三角形星图识别算法[J]. 光学技术, 2000, 26(4): 372-374.
[9] 郑万波, 刘智, 郝志航. 二维精简索引分层导航星库的构造[J]. 吉林大学学报(信息科学版), 2003, 21(2): 123-127.
[10] 张晨, 陈朝阳, 张金林,等. APS星跟踪器亚像素质心定位[J]. 光电工程, 2005, 32(6): 5-8.
[11] 魏新国, 张广军, 江洁. 星敏感器中星图图像的星体细分定位方法研究[J].北京航空航天大学学报, 2003, 29(9): 812-815.
[12] 刘朝山, 刘光斌, 王新国,等. 弹载星敏感器原理及系统应用[M]. 北京:国防工业出版社, 2010.
[13] 阚道宏, 朱铮,过瑞英. 星敏感器用导航星表的建立[J]. 宇航学报, 1992, 14(4): 43-49.
[14] 吴峰. 自主导航星敏感器关键技术的研究[D]. 苏州: 苏州大学, 2012.
[2] JOHN D V. Star trackers, star catalogs, and attitude determination: probabilistic aspects of system design[J]. Journal of Guidance, Control, and Dynamics, 1993, 16(3): 498-504.
[3] BARRY K, HINDMAN M, YATES R. Application of flight data to space shuttle CCD star tracker catalog design[C]//Proceedings of the Annual Rocky Mountain Guidance and Control Conference, 16th, Keystone,CO, NASA Johnson Space Center, Houston, TX, United States.1993: 57-70.
[4] 陈雪芬, 康国华. 基于ITSI优选算法的星敏感器导航星库建立[J]. 传感技术学报, 2015, 28(3): 381-386.
[5] 吴量, 王建立, 王昊京. 三视场天文导航视场间星图识别的导航星选取[J]. 光学精密工程, 2015, 23(6): 1732-1741.
[6] 郑胜, 吴伟仁, 田金文, 等. 一种新的导航星选取算法研究[J]. 宇航学报, 2004, 25(1): 35-40.
[7] HYE Y K, JUNKINS L. Self-organizing guide star selection algorithm for star tracker; thinning method[C]//IEEE on Aerospace Conference Proceeding, Big Sky, Montana:IEEE, 2002: 2275-2283.
[8] 李立宏, 林涛, 宁永臣, 等. 一种改进的全天自主三角形星图识别算法[J]. 光学技术, 2000, 26(4): 372-374.
[9] 郑万波, 刘智, 郝志航. 二维精简索引分层导航星库的构造[J]. 吉林大学学报(信息科学版), 2003, 21(2): 123-127.
[10] 张晨, 陈朝阳, 张金林,等. APS星跟踪器亚像素质心定位[J]. 光电工程, 2005, 32(6): 5-8.
[11] 魏新国, 张广军, 江洁. 星敏感器中星图图像的星体细分定位方法研究[J].北京航空航天大学学报, 2003, 29(9): 812-815.
[12] 刘朝山, 刘光斌, 王新国,等. 弹载星敏感器原理及系统应用[M]. 北京:国防工业出版社, 2010.
[13] 阚道宏, 朱铮,过瑞英. 星敏感器用导航星表的建立[J]. 宇航学报, 1992, 14(4): 43-49.
[14] 吴峰. 自主导航星敏感器关键技术的研究[D]. 苏州: 苏州大学, 2012.