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A Continuous Navigation Method of Spacecraft Based on Stellar Refraction

YANG Bo;MIAO Jun;School of Astronautics,Beijing University of Aeronautics and Astronautics;  
When a satellite uses stellar refraction to conduct navigation,it often occurs that the navigation refraction stars can't be observed because of the influence of the celestial bodies such as the Earth,Sun and Moon. Thus the accuracy of locating will decrease a lot. Moveover,the filtering of navigation can be diverging. This paper proposes a new method based on neural network compensating navigation data in the blank section of starlight. The method utilizes the related properties between the correlation of the navigation errors and status errors. It establishes three layers of the neural network system,which could effectively predict and correct the information of the satellite status and could ensure that the navigating errors change smoothly around the starlight blank section. Then the high-precision navigation for satellite can be achieved. This paper constructs the influence models of the celestial bodies and describes the mechanism about how the blank section of starlight occurs and the scheme of designing the neural network system. Finally,the efficiency and high accuracy of compensating the blank section method is verified via simulation.
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