期刊文献+

深空光通信中导航星表的构造

Structure of guide star catalog for deep space optical communication
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摘要 提出一种导航星表的构建方法,该方法以星跟踪器视场内最亮恒星作为信标,把信标锁定在视场中心,测量视场内其他恒星到信标的角间隔,把测量的所有恒星角间隔和信标的赤经、赤纬存储到导航星表中。基于该方法,利用史密森天文观测台恒星星表(SAO),选择星等小于6等的恒星,建立起导航星表,该星表仅包括5103颗星,其容量仅为1.2兆。相对三角形算法,该星表容量更小,可节省星载系统的存储空间,减少识别时间,提高跟踪速率。蒙特-卡诺仿真结果表明,利用该导航星表识别信标具有较好的抗干扰性,且当星跟踪器测角误差(3σ)在1μrad以内时,信标正确识别概率几乎为100%。 A method to construct guide star catalog for deep space optical communication system is proposed in the paper. The method makes use of the brightest star as the beacon and locates it in the centre of the view field of a star tracker, calculates the angle intervals of other stars from the beacon in the view field of the star tracker, and stores all the measured angle intervals and right ascension and declination of the star in the guide star catalog. Based on this method and SAO, a guide star catalog is set up by selecting the stars including 5103 stars below magnitude 6, with a capacity of only 1.2M. in contrast to star catalog constructed with triangle algorithm, the capacity of the star catalog is less, which can save much storage space, reduce the execution time and raise the tracking rate of deep space optical communication. Results from performed Monte-carol simulation show that when the angular measurement error of the star tracker is below 1μrad the correct identification probability is nearly 100%.
出处 《光电工程》 EI CAS CSCD 北大核心 2006年第1期31-33,58,共4页 Opto-Electronic Engineering
关键词 深空光通信 星跟踪器 导航星表 蒙特-卡诺仿真 Deep space optical communication Star tracker Guide star catalog Monte-carol simulation
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参考文献5

  • 1J.W.ALEXANDER,S.LEE,C.CHEN.Pointing and Tracking Concepts for Deep-Space Missions[J].SPIE,1999,3615:230-249.
  • 2Donald E.MAURER,Bradley B.BOONE.Conceptual Design and Algorithm Evaluation for a Very Accurate Imaging Star Tracker for Deep-Space Optical Communications[J].SPIE,2002,4821:237-247.
  • 3CURSTIS Padgett,KENNETH Kreutz-Delgado.A Grid Algorithm for Autonomous Star Identification[J].IEEE Transaction on Aerospace and Electronics Systems,1997,33(1):202-213.
  • 4郑胜,吴伟仁,田金文,柳健,田岩.一种基于三角形几何结构的星图识别算法[J].光学技术,2004,30(1):70-73. 被引量:10
  • 5海峰,袁家虎,毛羽国.快速星图匹配算法的研究[J].光电工程,1998,25(6):70-74. 被引量:16

二级参考文献6

  • 1Liebe C C. Pattern recognition of star constellations for slmceeraft applications[J]. IEEE, Aerospace and electronics systems magazine, 1993,8 ( 1 ) : 31-39.
  • 2Liebe C C. Star tracker for attitude determination [ J ], IEEE, Aerospace and electronics systems magazine, 1995, 10(6): 10-16.
  • 3Curtis P, Kenneth K D. A grid algorithm for autonomous star identification[J]. IEEE Aerospace and electronics system magazine , 1997,33(1) : 202-213.
  • 4Daniel S C, Padgett C W. Small field-of-view star identification using Bayesian decision theory[J]. IEEE Transactions on aerospace and electronic system, 2000,36(3):773-783.
  • 5Accardo D. Rufino G. Star field feature characterization for initial acquisition by neural networks [ C]. IEEE Aerospace conference proceedings 2002, 2002. 2319-2330.
  • 6李立宏,林涛,宁永臣,张福恩.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. 被引量:44

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