基于星光折射的自主导航系统结构简单、成本低廉,理论上能够实现对飞行器的高精度导航.但由于测量模型受大气参数不确定性的影响,使得该导航方法的精度及可靠性严重降低.根据飞行器处于低轨段的卫星导航数据,通过神经网络在线拟合星光折射模型,避免了大气参数不确定性的影响,提高了星光折射导航精度.通过仿真重点研究了星光折射模型的特点、拟合方法,并对拟合模型的精度进行了分析.%The autonomous navigation system based on starlight atmosphere refraction has simple struaure and low cost. Using the system, the spacecraft can get high-precision navigation data. But the measurement model has some imprecise atmospheric parameter,which reduces the navigation precision and reliability seriously. The above effects can be avoided by nervous network fitting starlight atmosphere refraction model on line, using sstellite navigation data, when the spacecraft is at low orbit. This method can improve the navigation precision based on starligh refraction. Through simulation, the characteristics of the starlight refraction model and the fitting method were researched, and the precision analysis of the titting models were also made.
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