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高精度星光折射间接敏感地平的自主导航方法,目前被国内外尤为关注。本文通过对星光折射导航观测对象———导航星捕获的研究,采用了改进的三角匹配算法并结合恒星星表,确定出导航观测星星光方向,同时依据对飞行器在轨观测星的几何关系推导,利用Unscented卡尔曼滤波算法确定航天器的在轨位置和速度。该方法能比较真实地模拟飞行器实际在轨的导航情况。仿真表明,真实星表导航精度大于人造星场;通过比较导航系统捕获20,40,60,80颗折射星的4种情况,可知捕获到的导航星的数量越多,导航精度也随之提高。
Indirectly sensitive horizon high-precision satellite refraction of the autonomous navigation method, is currently of particular concern at home and abroad. In this paper, we use the improved triangulation algorithm combined with the stellar catalog to determine the light direction of the observed star, and deduce it from the geometry of the orbit observer in the spacecraft , Using Unscented Kalman filter algorithm to determine the orbital position and velocity of the spacecraft. This method can simulate the real navigation situation of the aircraft in orbit. The simulation shows that the accuracy of real satellite table navigation is larger than that of man-made satellite. By comparing the four cases of capturing 20, 40, 60 and 80 refractive stars by navigation system, it can be seen that the more navigation stars are captured, the higher navigation accuracy .