宇航计测技术

• 论文 • 上一篇    下一篇

一种稀疏布站条件下的区域电离层改正方法研究

赵坤娟1,2,3;华宇1,2;郭伟1,2;燕保荣1,2;闫温合1,2,3   

  1. 1、中国科学院国家授时中心,西安 710600;
    2、中国科学院精密导航定位与定时技术重点实验室,西安 710600;
    3、中国科学院大学,北京 100039
  • 出版日期:2014-04-15 发布日期:2014-04-15
  • 作者简介:赵坤娟(1986-),女,硕士研究生,主要研究方向:授时方法与导航技术。
  • 基金资助:
    《西部之光联合学者——高精度数字电视卫星测定轨技术研究》资助项目

Research on a Type of Region Ionosphere Correction Method of Sparse Distribution Station Conditions

ZHAO Kun-juan1,2,3;HUA Yu1,2;GUO Wei1,2;YAN Bao-rong1,2;YAN Wen-he1,2,3   

  1. 1、National Time Sevice Center of Chinese Academy of Sciences, Xi′an 710600;
    2、Key Laboratory for Precise Navigation, Positioning and Timing of Chinese Academy of Science, Xi′an 710600;
    3、University of Chinese Academy of Sciences, Beijing 100039
  • Online:2014-04-15 Published:2014-04-15

摘要: 研究了WAAS卫星导航系统的格网电离层改正方法,分析了中国区域电离层分布特性,根据中国区域内稀疏布站的条件,MEO卫星和GEO卫星运动特点,以及C波段GEO卫星电离层延迟特性,提出了利用距离幂指数权重内插进行电离层延迟改正的方法。使用IGS公布的电离层数据,分别利用格网电离层权重方法和距离幂指数权重内插法进行Matlab仿真计算。然后,将结果与IGS事后精密产品进行比较,证明在中国区域内稀疏布站条件下,距离幂指数权重内插法对于电离层延迟具有较理想的改正效果。

关键词: 卫星导航, 总电子含量, 格网电离层, 距离幂指数权重内插法

Abstract: The grid ionospheric correction method of WAAS satellite navigation system is studied, and the distribution characteristics of China′s regional ionospheric are analyzed. According to the China region sparse distribution station conditions, MEO and GEO satellites motion characteristics, as well as C-band GEO satellite ionospheric delay characteristics, the use of distance exponential weighting inter-polation ionospheric delay correction method is proposed. IGS published ionospheric data, respectively, using the grid ionospheric weighting method and distance exponential weighting interpolation method for Matlab simulation, then contrast with IGS afterwards sophisticated products on the simulation results, the results proof that the distance exponential weighting interpolation method for ionospheric delay correction has effect with a more ideal in the Chinese region sparse distribution station conditions.

Key words: Satellite navigation, TEC, Grid ionosphere, Distance exponential weighting interpolation method