An Improved Iterative Algorithm for 3-D Ionospheric Tomography Reconstruction

被引：42
|
作者：
Yao, Yibin [1 ]
Tang, Jun [1 ]
Chen, Peng [2 ]
Zhang, Shun [1 ]
Chen, Jiajun [1 ]
机构：
[1] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China
[2] Xian Univ Sci & Technol, Coll Geomat, Xian 710054, Peoples R China
来源：
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2014年 / 52卷 / 08期
基金：
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词：
Computerized ionospheric tomography (CIT); Global Positioning System (GPS); ill-posed problem; ionospheric electron density (IED); total variation (TV) minimization in three dimensions combined with algebraic reconstruction technique (ART) (TV3D-ART); RADIO TOMOGRAPHY;
D O I：
10.1109/TGRS.2013.2283736
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
The computerized ionospheric tomography usually involves solving an ill-posed inversion problem. The sparsity of Global Positioning System (GPS) stations and the limitation of projection angles lead to insufficient data acquisition, thereby preventing the accurate reconstruction of ionospheric-electron-density distributions. In this paper, we investigate and propose a 3-D iterative reconstruction algorithm based on the minimization of total variation under quiescent and disturbed ionospheric conditions. Numerical experiments on GPS simulation data and real data are discussed. In contrast to the improved algebraic reconstruction technique, the proposed algorithm exhibits significantly reconstruction accuracy.
引用
收藏
页码：4696 / 4706
页数：11
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