A Star Identification Method Based on Mixed Characteristics and LVQ Neural Network

被引：0
|
作者：
Sun Hongchi [1 ]
Mu Rongjun [1 ]
Du Huajun [2 ,3 ]
机构：
[1] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Peoples R China
[2] Beijing Aerosp Automat Control Inst, Beijing 100854, Peoples R China
[3] Natl Key Lab Sci & Technol Aerosp Intelligence Co, Beijing 100854, Peoples R China
来源：
PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC) | 2018年
关键词：
LVQ neural network; Star Identification; Star sensor;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Star identification method is the basis of celestial navigation. In order to solve the problem that traditional methods can't adapt to high noise condition, a star identification method bases on LVQ neural network is used for star recognition. Compared with several different characteristics vector, the mixed characteristic vector is selected to train the network. The simulation results show that the recognition rate of this star identification method is 100%, and the recognition rate is better than traditional star identification method in high noise condition.
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页数：6
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