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New INS/CNS Integrated Algorithm On Aerospace Vehicle with Directly Sensing Horizon

Zhang Cheng Xiong Zhi Wang Rong Liu Jianye Peng Hui(Navigation Research Center,Nanjing University of Aeronautics & Astronautics,Nanjing 210016)  
In the traditional INS/CNS integrated algorithm,the system noise is correlated with the measured noise because the celestial observation output couples the horizontal platform benchmark error.To fix this problem,the principle of using celestial observation to modify gyroscope excursion was analyzed,and an aerospace vehicle positioning and navigation theme based on directly sensing horizon to achieve celestial analytical positioning and integrated filtering was proposed,then the relevant integrated filter model was built.In the theme,an inertia benchmark was built by star sensor and gyro,then celestial positioning based on infrared horizon sensor was calculated,and at last the INS/CNS integrated filtering was implemented.This theme fully takes the advantage of the accurate celestial information and succeeds in making the system noise and the measured noise independent.The simulation results show the validity of the proposed theme.
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