Star pattern recognition method based on neural network

作     者：LI Chunyan LI Ke ZHANG Longyun JIN Shengzhen ZU Jifeng 

作者机构：National Astronomical ObservatoryChinese Academy of SciencesBeijing 100012China College of Information EngineeringUniversity of Science and Technology BeijingBeijing 100083China Department of PhysicsLiaoning Normal UniversityDalian 116029China 

出 版 物：《Chinese Science Bulletin》 (Chin. Sci. Bull.)

年 卷 期：2003年第48卷第18期

页      面：1927-1930页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National "863" Project of China  (86325125) 

主　　题：star sensor star pattern recognition neural network BP neural network. 

摘      要：Star sensor is an avionics instrument used toprovide the absolute 3-axis attitude of a spacecraft by utiliz-ing star observations. The key function is to recognize theobserved stars by comparing them with the reference cata-logue. Autonomous star pattern recognition requires thatsimilar patterns can be distinguished from each other with a small training set. Therefore, a new method based on neural network technology is proposed and a recognition systemcontaining parallel backpropagation (BP) multi-subnets isdesigned. The simulation results show that the method per-forms much better than traditional algorithms and the pro-posed system can achieve both higher recognition accuracyand faster recognition speed.