引用本文: | 温永智,吴杰.基于卫星导航数据在线拟合星光折射模型方法[J].国防科技大学学报,2011,33(1):7-10.[点击复制] |
WEN Yongzhi,WU Jie.Fitting Starlight Atmosphere Refraction Model on Line Using Satellite Navigation Data[J].Journal of National University of Defense Technology,2011,33(1):7-10[点击复制] |
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基于卫星导航数据在线拟合星光折射模型方法 |
温永智, 吴杰 |
(国防科技大学 航天与材料工程学院,湖南 长沙 410073)
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摘要: |
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。 |
关键词: 自主导航 星光折射 神经网络 拟合 |
DOI: |
投稿日期:2010-07-23 |
基金项目:国家863高技术计划项目(51309060302) |
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Fitting Starlight Atmosphere Refraction Model on Line Using Satellite Navigation Data |
WEN Yongzhi, WU Jie |
(College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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Abstract: |
The autonomous navigation system based on starlight atmosphere refraction has simple structure 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 satellite navigation data, when the spacecraft is at low orbit. This method can improve the navigation precision based on starlight refraction. Through simulation, the characteristics of the starlight refraction model and the fitting method were researched, and the precision analysis of the fitting models were also made. |
Keywords: autonomous navigation starlight refraction nervous network fitting |
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