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An Improved Iterative Algorithm for Ionospheric Tomography Reconstruction by Using the Automatic Search Technology of Relaxation Factor
Author(s) -
Zheng Dunyong,
Yao Yibin,
Wenfeng Nie,
Yang Wentao,
Hu Wusheng,
Ao Minsi,
Zheng Hongwei
Publication year - 2018
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2018rs006588
Subject(s) - algorithm , tomography , computer science , relaxation (psychology) , iterative reconstruction , inversion (geology) , reconstruction algorithm , tomographic reconstruction , dynamic relaxation , ionosphere , mathematics , artificial intelligence , geophysics , physics , optics , geology , geometry , psychology , social psychology , paleontology , structural basin
An improved ionospheric tomography algorithm is developed for the tomographic reconstruction of the ionospheric electron density distribution based on the automatic search technology of relaxation factor, in which the automatic search technology is a training process to optimize the relaxation factors of the iterative algorithm. In comparison with some classical tomography algorithms, the proposed algorithm can not only greatly improve the efficiency of inversion but also obtain ionospheric electron density images with high fidelity. A careful validation of the proposed algorithm is performed by conducting numerical experiments with Global Positioning System simulation and real data, and according to the results of the quantitative comparison and statistical analysis, compared with other classical ionospheric tomography algorithms, the proposed algorithm exhibits significantly reconstruction accuracy.