Generation of Klobuchar Coefficients Based on IGS GIM for Regionally Optimized Ionospheric Correction in GNSS Positioning

A practical methodology for estimating regionally optimized Klobuchar coefficients using only International GNSS Service (IGS) Global Ionosphere Map (GIM) data is proposed. The method preserves computational simplicity, enabling near-real-time corrections suitable for accurate GNSS positioning. Utilizing both slant and vertical total electron content (STEC and VTEC) values extracted from GIM as inputs to estimate eight Klobuchar coefficients, robust parameter sets were obtained. Root mean square error (RMSE) analysis was used to compare these models to the standard Klobuchar model. Comprehensive performance evaluations using STEC-derived parameters, encompassing both seasonal and spatial analyses across South Korea, demonstrated significant reductions in ionospheric delay errors, with improvements reaching up to 57% compared to the conventional Klobuchar model. The far less computationally intensive VTEC-based model was applied over a wider region with 120 grid points. Continuous testing of this model over an entire year confirmed consistent enhancements in correction accuracy every day, demonstrating stable performance throughout the period. The developed regional Klobuchar models were further validated indirectly through satellite positioning performance, demonstrating daily RMSE improvements over the standard Klobuchar model ranging from 17.3% to 44.6%.

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Publication Details

Journal
Remote Sensing
Published
2025-09-23
DOI
https://doi.org/10.3390/rs17193265
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Generation of Klobuchar Coefficients Based on IGS GIM for Regionally Optimized Ionospheric Correction in GNSS Positioning

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article

Generation of Klobuchar Coefficients Based on IGS GIM for Regionally Optimized Ionospheric Correction in GNSS Positioning

Eunseong Son, Junseok Hong, Kwan-Dong Park, Jong‐Kyun Chung, Byung‐Kyu Choi, Dong-Hyo Sohn, Jeongrae Kim, Hyung Keun Lee, Eun-Sup Sim
article en

Abstract

A practical methodology for estimating regionally optimized Klobuchar coefficients using only International GNSS Service (IGS) Global Ionosphere Map (GIM) data is proposed. The method preserves computational simplicity, enabling near-real-time corrections suitable for accurate GNSS positioning. Utilizing both slant and vertical total electron content (STEC and VTEC) values extracted from GIM as inputs to estimate eight Klobuchar coefficients, robust parameter sets were obtained. Root mean square error (RMSE) analysis was used to compare these models to the standard Klobuchar model. Comprehensive performance evaluations using STEC-derived parameters, encompassing both seasonal and spatial analyses across South Korea, demonstrated significant reductions in ionospheric delay errors, with improvements reaching up to 57% compared to the conventional Klobuchar model. The far less computationally intensive VTEC-based model was applied over a wider region with 120 grid points. Continuous testing of this model over an entire year confirmed consistent enhancements in correction accuracy every day, demonstrating stable performance throughout the period. The developed regional Klobuchar models were further validated indirectly through satellite positioning performance, demonstrating daily RMSE improvements over the standard Klobuchar model ranging from 17.3% to 44.6%.

Remote SensingVol. 17(19)
Inha University (KR), Korea Aerospace University (KR), Korea Astronomy and Space Science Institute (KR), Korea Aerospace Research Institute (KR)
Ministry of Land, Infrastructure and Transport, Korea Agency for Infrastructure Technology Advancement
Openalex Percentile: Top 82%
Ionosphere and magnetosphere dynamics
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