High-precision ionospheric modeling and its application in positioning under geomagnetic storm conditions

Ionospheric delay, a crucial error source in precise point positioning (PPP) technology, can significantly hamper positioning accuracy and dependability, particularly during geomagnetic storm conditions. This study presents a high-precision ionospheric model to address this challenge. Initially, total electron content (TEC) is retrieved from the global ionosphere map (GIM) and subtracted from the TEC derived from undifferenced and uncombined PPP data to derive differential TEC (dTEC). Subsequently, a polynomial model of dTEC is established, correlating it with the disturbance storm time (Dst) index. This model is then utilized to compute dTEC and correct the TEC estimate, resulting in an accurate and reliable TEC value. Ultimately, this refined TEC serves as prior ionospheric information for PPP positioning. To validate the positioning performance of our proposed method, positioning experiments proceeded with observational data from six stations at various latitudes from September 6 to 9, 2017. The findings indicate that with the imposition of the high-precision ionospheric model, convergence times to achieve a 10cm accuracy in the East-North-Up (ENU) coordinates are approximately 18 min, 18 min, and 15 min, respectively. In contrast, devoid of the ionospheric model, achieving the same level of convergence takes approximately 35 min, 38 min, and 40 min. Furthermore, in the event of geomagnetic storms, the application of the high-precision ionospheric model substantially reduces positioning errors, with maximum errors in the ENU coordinates decreasing from 0.8m, 0.7m, and 1.2m to 0.4m, 0.35m, and 0.6m, respectively.

Authors

Institutions

Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1117/12.3049097
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-precision ionospheric modeling and its application in positioning under geomagnetic storm conditions

Jiaqi Liu, Zan Li, Deyi Zhang, Rui Zhang et al.
Geophysics and Gravity Measurements
article

High-precision ionospheric modeling and its application in positioning under geomagnetic storm conditions

Jiaqi Liu, Zan Li, Deyi Zhang, Rui Zhang, Liya Ji
article en

Abstract

Ionospheric delay, a crucial error source in precise point positioning (PPP) technology, can significantly hamper positioning accuracy and dependability, particularly during geomagnetic storm conditions. This study presents a high-precision ionospheric model to address this challenge. Initially, total electron content (TEC) is retrieved from the global ionosphere map (GIM) and subtracted from the TEC derived from undifferenced and uncombined PPP data to derive differential TEC (dTEC). Subsequently, a polynomial model of dTEC is established, correlating it with the disturbance storm time (Dst) index. This model is then utilized to compute dTEC and correct the TEC estimate, resulting in an accurate and reliable TEC value. Ultimately, this refined TEC serves as prior ionospheric information for PPP positioning. To validate the positioning performance of our proposed method, positioning experiments proceeded with observational data from six stations at various latitudes from September 6 to 9, 2017. The findings indicate that with the imposition of the high-precision ionospheric model, convergence times to achieve a 10cm accuracy in the East-North-Up (ENU) coordinates are approximately 18 min, 18 min, and 15 min, respectively. In contrast, devoid of the ionospheric model, achieving the same level of convergence takes approximately 35 min, 38 min, and 40 min. Furthermore, in the event of geomagnetic storms, the application of the high-precision ionospheric model substantially reduces positioning errors, with maximum errors in the ENU coordinates decreasing from 0.8m, 0.7m, and 1.2m to 0.4m, 0.35m, and 0.6m, respectively.

China Three Gorges Corporation (China) (CN), China Southern Power Grid (China) (CN)
Climate action
Openalex Percentile: Top 78%
Geophysics and Gravity Measurements
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

High-precision ionospheric modeling and its application in positioning under geomagnetic storm conditions — Jiaqi Liu, Zan Li, et al. · (2024) | TGRS Research Map | TGRS