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Open AccessArticle

A Study on the Characteristics of the Ionospheric Gradient under Geomagnetic Perturbations

1
School of Instrumentation and Opto-Electronic Engineering; Beihang University, Beijing 100191, China
2
School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW 2052, Australia
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(7), 1805; https://doi.org/10.3390/s20071805 (registering DOI)
Received: 27 January 2020 / Revised: 9 March 2020 / Accepted: 22 March 2020 / Published: 25 March 2020
(This article belongs to the Section Remote Sensors, Control, and Telemetry)
The Earth’s ionosphere is greatly influenced by geomagnetic activities, especially geomagnetic storms. During a geomagnetic storm, the ionosphere suffers many perturbations, leading to a spatial gradient that are neglected during geomagnetically quiet periods. An ionospheric gradient generates potential hazards for a ground-based argumentation system (GBAS) by enlarging the errors in the delay corrections between ground monitor stations and users. To address this problem, this work investigates the characteristics of the ionospheric gradient under geomagnetic storms. Global Navigation Satellite System (GNSS) observations from the continuously operating reference station (CORS) network were used to analyze the ionospheric gradients during the geomagnetic storm on 8 September 2017. The statistical behavior of the ionospheric gradient was further discussed. Experiments show that strong geomagnetic perturbations lead to large ionospheric gradients, and the gradients also vary with the geomagnetic location. View Full-Text
Keywords: ionospheric gradient; geomagnetic storm; sigma bound; ground-based augmentation system; satellite navigation ionospheric gradient; geomagnetic storm; sigma bound; ground-based augmentation system; satellite navigation
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MDPI and ACS Style

Zhang, Y.; Liu, Y.; Mei, J.; Zhang, C.; Wang, J. A Study on the Characteristics of the Ionospheric Gradient under Geomagnetic Perturbations. Sensors 2020, 20, 1805.

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