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�������պ����ѧѧ�� 2006, Vol. 32 Issue (01) :8-12    DOI:
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ȫΰ, �����, ������*
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Improved star map identification algorithm based on Hausdorff distance
Quan Wei, Wang Guangjun, Fang Jiancheng*
School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� To solve two problems that the identification algorithm based on Hausdorff distance have the slow recognition speed and being very sensitive for the rotation of lens of star sensor,an improved star map identification algorithm based on Hausdorff distance was proposed. In this method, vector distance was combined with scalar distance. The information of star dimensional configuration was used, and a matching model of vector distance was constructed. According to the rotation peculiarity of lens, a anti-rotation model of scalar distance was set up,the weighted factor was ascertained by testing and researching the two models, right matching and recognizing threshold was choosed, and the final optimum performance of recognition was achieved. The simulation results show that it improved algorithm not only had good identification rate and strong anti-noise characteristic of original algorithm but also had better recognition speed and good anti-rotation characteristic.It was used successfully in the actual projects.
Keywords�� star sensor   autonomous navigation   Hausdorff distance   star map identification   vector distance   scalar distance     
Received 2004-10-25;

������Ȼ��ѧ����������Ŀ(60174031); ����863�ƻ�������Ŀ(2002AA713031); ���ú���Ԥ��������Ŀ

About author: ȫ ΰ(1977-),��,ɽ��������,��ʿ��,qw quanwei@sina.com.
ȫΰ, �����, ������.һ�ֻ���Hausdorff����ĸĽ���ͼʶ�𷽷�[J]  �������պ����ѧѧ��, 2006,V32(01): 8-12
Quan Wei, Wang Guangjun, Fang Jiancheng.Improved star map identification algorithm based on Hausdorff distance[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2006,V32(01): 8-12
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