An Improved Star Identification Method Based on Neural Network

摘要：

In order to increase the star identification speed and recognition rate of star sensor, an improved rapid star identification method based on neural network (NN) is presented. The proposed method is composed of three levels, including the coarse classification of navigation stars, star pattern recognition based on NN and the final validation of recognition results. The angular distance of characteristic triangle is employed for coarse classification to active the subnets for star pattern recognition. Then the star pattern obtained by the grid method for the main star is sent to the corresponding subnets for the star pattern identification. At last, the identification results of the active subnets are validated to obtain the only recognition result. The experimental results show that, compared with traditional triangle identification method, the proposed method has higher accurate recognition rate, lower redundancy and better robustness.

关键词： Star Sensor Neural Network Star Identification Navigation Star database

作者: Yang Jing Wang Liang

作者单位: Science and Technology on Aircraft Control Laboratory, Beihang UniversityBeijing 100191, China Science and Technology on Aircraft Control Laboratory, Beihang University Beijing 100191, China

会议类型: 国际会议

会议名称: IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)

会议地点: 北京

会议语种:英文

页码: 118-123

在线出版日期: 2012-07-25（万方平台首次上网日期，不代表论文的发表时间）