一种适用于电离层电子密度重构的AMART算法

赵海山; 杨力; 周阳林; 董明

doi:10.11947/j.AGCS.2018.20160540

测绘学报 >

2018 , Vol. 47 >Issue 1: 57 - 63

DOI: https://doi.org/10.11947/j.AGCS.2018.20160540

一种适用于电离层电子密度重构的AMART算法

赵海山 ,
杨力 ,
周阳林 ,
董明

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1. 78125部队, 四川成都 610000;
2. 信息工程大学, 河南郑州 450001;
3. 卫星导航工程中心, 北京 100000

赵海山(1991-),男,硕士,研究方向为卫星导航定位工程与技术。E-mail:313449511@qq.com

收稿日期: 2016-11-01

修回日期: 2017-10-11

网络出版日期: 2018-02-05

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A AMART Algorithm Applied to Ionospheric Electron Reconstruction

ZHAO Haishan ,
YANG Li ,
ZHOU Yanglin ,
DONG Ming

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1. 78125 Troop, Chengdu 610000, China;
2. Information Engineering University, Zhengzhou 450001, China;
3. Satellite Navigation Engineering Center, Beijing 100000, China

Received date: 2016-11-01

Revised date: 2017-10-11

Online published: 2018-02-05

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摘要

针对传统乘法代数重构算法（MART）迭代精度不高的问题，提出一种自适应电离层层析新算法。一方面，该算法根据射线穿越像素点的截距和电子密度值的综合影响，合理地分配迭代差值；另一方面，提出一种与电子密度值相关的自适应松弛因子，有效克服传播噪声对电子密度反演的影响。试验采用全球电离层图（GIM）数据和GPS双频观测数据分别从单射线迭代和多射线迭代两个方面对新方法的可行性和优越性进行验证。试验结果表明，相对于传统的MART算法，本文方法反演电子密度剖面更接近电离层测高仪观测结果。

关键词： 电离层层析; MART算法; 电子密度; GIM; 迭代算法

本文引用格式

赵海山 , 杨力 , 周阳林 , 董明 . 一种适用于电离层电子密度重构的AMART算法[J]. 测绘学报, 2018 , 47(1) : 57 -63 . DOI: 10.11947/j.AGCS.2018.20160540

Abstract

Aiming at the problem that the traditional MART algorithm has low iteration accuracy,a new tomographic inversion algorithm is proposed. On the one hand,The new algorithm takes into account the integration of the intercept of ray traversing pixels and electron density and distributes the iterative difference in a more reasonably. On the other hand,an adaptive relaxation factor related to the electron density is proposed to overcome the influence of propagation noise on electron density inversion. The GIM data and GPS dual frequency observation data are used to verify the feasibility and superiority of the new method iteration accuracy from two aspects of single ray iteration and multi ray iteration. The experimental results show that compared with the traditional MART algorithm,the electron density profile obtained by the new method is closer with those from ionosonde measurements.

Key words： ionospheric tomographic; MART algorithm; electron density; GIIM; iterative reconstruction algorithm

参考文献

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