Developing an Electron Density Profiler over Europe Based on Space Radio Occultation Measurements

被引:0
|
作者
Haralambous, Haris [1 ]
Papadopoulos, Harris [1 ]
机构
[1] Frederick Univ, Dept Elect Engn, Dept Comp Sci & Engn, CY-1036 Nicosia, Cyprus
来源
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2013 | 2013年 / 412卷
关键词
Ionosphere; radio occultation; electron density profile; SYSTEM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents the development of an Artificial Neural Network electron density profiler based on electron density profiles collected from radio occultation (RO) measurements from LEO (Low Earth Orbit) satellites to improve the spatial and temporal modeling of ionospheric electron density over Europe. The significance in the accurate determination of the electron density profile lies on the fact that the electron density at each altitude in the ionosphere determines the refraction index for radiowaves that are reflected by or penetrate the ionosphere and therefore introduces significant effects on signals (navigation and communication). In particular it represents a key driver for total electron content model development necessary for correcting ionospheric range errors in single frequency GNSS applications.
引用
收藏
页码:172 / 181
页数:10
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