南京航空航天大学学报（英文版）2005，Vol.22Issue(2)：165-169,5.
基于图像位移的低轨卫星自主导航技术
LEO AUTONOMOUS NAVIGATION BASED ON IMAGE MOTION
段方 1刘建业 1郁丰1
作者信息
- 1. 南京航空航天大学自动化学院,南京,210016,中国
- 折叠
摘要
Abstract
A method of LEO autonomous navigation is presented based on the nonlinear satellite velocity relative to the earth. The velocity is detected by a high-speed camera, with the attitude information detected by a star sensor. Compared with traditional autonomous navigation by landmark identification, the satellite velocity relative to the earth is obtained by correlativity analysis of images. It does not need to recognize ground objects or views. Since it is not necessary to pre-store the database of ground marks, lots of memory space can be saved. The state and observation equations are constructed, and the filtering is processed by the Kalman filter. Simulation results show that the system has high autonomous navigation precision in LEO autonomous navigation.关键词
图像位移/自主导航/卡尔曼滤波/低轨卫星Key words
image motion/autonomous navigation/Kalman filter/LEO分类
航空航天引用本文复制引用
段方,刘建业,郁丰..基于图像位移的低轨卫星自主导航技术[J].南京航空航天大学学报（英文版）,2005,22(2):165-169,5.
