A modified three-dimensional ionospheric tomography algorithm with side rays

被引:18
|
作者
Yao, Yibin [1 ]
Zhai, Changzhi [1 ]
Kong, Jian [2 ]
Zhao, Qingzhi [3 ]
Zhao, Cunjie [1 ]
机构
[1] Wuhan Univ, Sch Geodesy & Geomat, Wuhan, Hubei, Peoples R China
[2] Wuhan Univ, Chinese Antarctic Ctr Surveying & Mapping, Wuhan, Hubei, Peoples R China
[3] Xian Univ Sci & Technol, Coll Geomat, Xian, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Three-dimensional ionospheric tomography; GNSS; Side rays; Inversion; TOTAL ELECTRON-CONTENT; NEURAL-NETWORK; NEQUICK; VALIDATION; RESOLUTION; IONOSONDE; DENSITY; REGION;
D O I
10.1007/s10291-018-0772-4
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The three-dimensional ionospheric tomography (3DCIT) algorithm based on Global Navigation Satellite System (GNSS) observations have been developed into an effective tool for ionospheric monitoring in recent years. However, because the rays that come into or come out from the side of the inversion region cannot be used, the distribution of the rays in the edge and bottom part of the inversion region is scarce and the electron density cannot be effectively improved in the inversion process. We present a three-dimensional tomography algorithm with side rays (3DCIT-SR) applying the side rays to the inversion. The partial slant total electron content (STEC) of side rays in the inversion region is obtained based on the NeQuick2 model and GNSS-STEC. The simulation experiment results show that the algorithm can effectively improve the distribution of GNSS rays in the inversion region. Meanwhile, the iteration accuracy has also been significantly improved. After the same number of iterations, the iterative results of 3DCIT-SR are closer to the truth than 3DCIT, in particular, the inversion of the edge regions is improved noticeably. The GNSS data of the International GNSS Service (IGS) stations in Europe are used to perform real data experiments, and the inversion results show that the electron density profiles of 3DCIT-SR are closer to the ionosonde measurements. The accuracy improvement of 3DCIT-SR is up to 56.3% while the improvement is more obvious during the magnetic storm compared to the case of a calm ionospheric state .
引用
收藏
页数:18
相关论文
共 50 条
  • [1] A modified three-dimensional ionospheric tomography algorithm with side rays
    Yibin Yao
    Changzhi Zhai
    Jian Kong
    Qingzhi Zhao
    Cunjie Zhao
    [J]. GPS Solutions, 2018, 22
  • [2] Flexible prior models: Three-dimensional ionospheric tomography
    Cornely, Pierre-Richard Jean
    [J]. 2003, American Geophysical Union (38)
  • [3] Flexible Prior Models: Three-dimensional ionospheric tomography
    Cornely, PRJ
    [J]. RADIO SCIENCE, 2003, 38 (05)
  • [4] Three-dimensional ionospheric tomography based on compressed sensing
    Jiaqi Zhao
    Qiong Tang
    Chen Zhou
    Zhengyu Zhao
    Fengsi Wei
    [J]. GPS Solutions, 2023, 27
  • [5] Three-dimensional ionospheric tomography based on compressed sensing
    Zhao, Jiaqi
    Tang, Qiong
    Zhou, Chen
    Zhao, Zhengyu
    Wei, Fengsi
    [J]. GPS SOLUTIONS, 2023, 27 (02)
  • [6] Three-dimensional ionospheric tomography by an improved algebraic reconstruction technique
    Wen, Debao
    Yuan, Yunbin
    Ou, Jikun
    Huo, Xingliang
    Zhang, Kefei
    [J]. GPS SOLUTIONS, 2007, 11 (04) : 251 - 258
  • [7] Three-dimensional ionospheric tomography by an improved algebraic reconstruction technique
    Debao Wen
    Yunbin Yuan
    Jikun Ou
    Xingliang Huo
    Kefei Zhang
    [J]. GPS Solutions, 2007, 11 : 251 - 258
  • [8] Three-dimensional computerized ionospheric tomography using volumetric constraints
    Biswas, C
    Na, H
    [J]. RADIO SCIENCE, 1998, 33 (06) : 1793 - 1805
  • [9] Imaging the Three-Dimensional Ionospheric Structure with a Blob Basis Functional Ionospheric Tomography Model
    Wen, Debao
    Mei, Dengkui
    Du, Yanan
    [J]. SENSORS, 2020, 20 (08)
  • [10] Medium-scale traveling ionospheric disturbances by three-dimensional ionospheric GPS tomography
    Chen, C. H.
    Saito, A.
    Lin, C. H.
    Yamamoto, M.
    Suzuki, S.
    Seemala, G. K.
    [J]. EARTH PLANETS AND SPACE, 2016, 68 : 1 - 9