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A Symmetry-Coordinated Approach for Ionospheric Modeling: The SH-RBF Hybrid Model
by
Deng, Wenbin
, Zhang, Xusheng
, Yi, Hongmei
in
Accuracy
/ Algorithms
/ Artificial satellites
/ Atmosphere, Upper
/ Edge effect
/ Error reduction
/ Geomagnetism
/ Global navigation satellite system
/ Harmonic functions
/ Investigations
/ Ionosphere
/ Mathematical functions
/ Methods
/ Modelling
/ Neural networks
/ Polynomials
/ Radial basis function
/ Regions
/ Spherical harmonics
/ Symmetry
/ Tomography
2026
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A Symmetry-Coordinated Approach for Ionospheric Modeling: The SH-RBF Hybrid Model
by
Deng, Wenbin
, Zhang, Xusheng
, Yi, Hongmei
in
Accuracy
/ Algorithms
/ Artificial satellites
/ Atmosphere, Upper
/ Edge effect
/ Error reduction
/ Geomagnetism
/ Global navigation satellite system
/ Harmonic functions
/ Investigations
/ Ionosphere
/ Mathematical functions
/ Methods
/ Modelling
/ Neural networks
/ Polynomials
/ Radial basis function
/ Regions
/ Spherical harmonics
/ Symmetry
/ Tomography
2026
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Do you wish to request the book?
A Symmetry-Coordinated Approach for Ionospheric Modeling: The SH-RBF Hybrid Model
by
Deng, Wenbin
, Zhang, Xusheng
, Yi, Hongmei
in
Accuracy
/ Algorithms
/ Artificial satellites
/ Atmosphere, Upper
/ Edge effect
/ Error reduction
/ Geomagnetism
/ Global navigation satellite system
/ Harmonic functions
/ Investigations
/ Ionosphere
/ Mathematical functions
/ Methods
/ Modelling
/ Neural networks
/ Polynomials
/ Radial basis function
/ Regions
/ Spherical harmonics
/ Symmetry
/ Tomography
2026
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A Symmetry-Coordinated Approach for Ionospheric Modeling: The SH-RBF Hybrid Model
Journal Article
A Symmetry-Coordinated Approach for Ionospheric Modeling: The SH-RBF Hybrid Model
2026
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Overview
Ionospheric delay errors significantly reduce the positioning accuracy of global navigation satellite systems (GNSSs), whereas precise ionospheric modeling can effectively mitigate this issue. The ionosphere exhibits large-scale symmetry, and spherical harmonics (SHs) can effectively describe this property due to their rotational symmetry on the sphere. However, mathematical fitting models such as spherical harmonic functions and polynomial models encounter boundary inaccuracies caused by edge effects. To address this problem, we developed a spherical harmonic–radial basis function (SH-RBF) hybrid method based on the integration of spherical harmonics and radial basis function interpolation techniques. This method leverages the global symmetry of spherical harmonics and utilizes the local adaptability of radial basis functions to correct regional distortions. Validation using European GNSS data during both geomagnetically quiet and active periods, in comparison with the CODE global ionospheric map (GIM), demonstrates that the modeling accuracy of spherical harmonics surpasses that of POLY during geomagnetically quiet periods. Compared to spherical harmonics, SH-RBF improves overall modeling accuracy by 8.87–27.27% and enhances accuracy in edge regions by 34.16–83.91%. During geomagnetically active periods, the SH-RBF method also achieves notable improvements. This study confirms that SH-RBF is a reliable technique for significantly reducing edge effects in regional ionospheric modeling.
Publisher
MDPI AG
Subject
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