3-D ionospheric tomography from dense GNSS observations based on an improved two-step iterative algorithm

Shuanggen Jin; Canbing Li

doi:10.1016/j.asr.2018.05.032

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3-D ionospheric tomography from dense GNSS observations based on an improved two-step iterative algorithm

Shuanggen Jin Canbing Li

Year: 2018 Journal: Advances in Space Research Vol: 62 (4)Pages: 809-820 Publisher: Elsevier BV

DOI: 10.1016/j.asr.2018.05.032

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Keywords:

GNSS applications TEC Ionosonde Algorithm Remote sensing Satellite system Ionosphere Residual Computer science Occultation Algebraic Reconstruction Technique Environmental science Geodesy Geology Physics Global Positioning System Iterative reconstruction Artificial intelligence Geophysics Electron density Telecommunications

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Ionosphere and magnetosphere dynamics

Physical Sciences → Physics and Astronomy → Astronomy and Astrophysics

GNSS positioning and interference

Physical Sciences → Engineering → Aerospace Engineering

Earthquake Detection and Analysis

Physical Sciences → Earth and Planetary Sciences → Geophysics

3-D ionospheric tomography from dense GNSS observations based on an improved two-step iterative algorithm

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