Inversion Method of Ionospheric Profile Based on Data Preprocessing

LU Zhuan-xia; LIU Wen; WEI Na; LOU Peng

doi:10.3969/j.issn.0372-2112.2018.03.009

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Inversion Method of Ionospheric Profile Based on Data Preprocessing

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- Inversion Method of Ionospheric Profile Based on Data Preprocessing
- Acta Electronica Sinica Vol. 46, Issue 3, Pages: 575-581(2018)
- 作者机构：
  
  中国电波传播研究所,山东,青岛,266107
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61331012, No.61302006)
- DOI：10.3969/j.issn.0372-2112.2018.03.009
  CLC： TN011
- Published Online：25 March 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
LU Zhuan-xia, LIU Wen, WEI Na, et al. Inversion Method of Ionospheric Profile Based on Data Preprocessing[J]. Acta Electronica Sinica, 2018, 46(3): 575-581.
DOI：

LU Zhuan-xia, LIU Wen, WEI Na, et al. Inversion Method of Ionospheric Profile Based on Data Preprocessing[J]. Acta Electronica Sinica, 2018, 46(3): 575-581. DOI： 10.3969/j.issn.0372-2112.2018.03.009.

摘要

对于交叠多项式反演方法中较多或大量数据缺失、以及未结合电离层传播特性的数据插值处理导致的剖面计算误差大幅增大，甚至错误的问题，在对交叠多项式电离层剖面反演方法理论分析研究的基础上，本文提出基于数据预处理的电离层剖面反演改进方法.该方法首先基于理论方法构建电离层剖面模型，结合实测虚高数据，完成缺失数据补偿预处理；然后通过搜索、迭代的方式，基于交叠多项式模型实现E层、谷层和F层剖面的整个反演.使用该方法对实测数据进行了电离层剖面反演，结果显示该方法获得的剖面更符合实际物理意义；使用反演结果合成的虚高数据与实测虚高数据也较好地吻合，进一步验证了反演算法的有效性.

Abstract

An ionospheric profile with increasing error or even fault will be caused by the missing of large number of data

or taking no propagation feature into account in the data interpolation

in the overlapping polynomial inversion. In the paper

an improved method for the profile inversing is presented with emphasis on data preprocessing. In this method

an ionospheric model is constructed from theory

and the missing data are compensated with the measured virtual heights. Then

the whole profile inversion is realized with the overlapping polynomial model through searching and iterating algorithm. The method is tested with real data and a more reasonable results with physical meaning is obtained. The effectivity of the proposed method is further verified with the synthesized virtual heights from inversing results comparing with that of the measured.

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