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  5. Ionospheric tomography for SWARM satellite orbit determination using single-frequency GNSS data
 
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Ionospheric tomography for SWARM satellite orbit determination using single-frequency GNSS data

Author(s)
Prol, Fabricio  
Pignalberi, Alessio  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma2, Roma, Italia  
Smirnov, Artem  
Pezzopane, Michael  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma2, Roma, Italia  
Christovam, Ana
Selvan, Kannan
Hoque, Mainul
Kaasalainen, Sanna
Language
English
Obiettivo Specifico
OSA3: Climatologia e meteorologia spaziale
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
GPS Solutions  
Issue/vol(year)
/ 29 (2025)
ISSN
1080-5370
Electronic ISSN
1521-1886
Publisher
Springer
Pages (printed)
26
Date Issued
2025
DOI
10.1007/s10291-024-01779-4
Alternative Location
https://link.springer.com/article/10.1007/s10291-024-01779-4
URI
https://www.earth-prints.org/handle/2122/57721
Subjects
01.02. Ionosphere  
Subjects

Low earth orbit

Ionosphere

Swarm

GPS

Tomography

GRAPHIC

Geomagnetic storm

Abstract
Ionospheric tomography offers three-dimensional (3D) description of the electron density distribution, enabling the direct incorporation of electron density data into the slant total electron content (STEC) computation. As a result, STEC derived from tomography helps mitigate the ionospheric delay experienced in the line of sight between global navigation satellite systems (GNSS) and satellites positioned in low Earth orbits (LEO). Tomography can therefore be effectively employed to correct single-frequency GNSS observations and allow enhanced positioning of spaceborne platforms. We demonstrate the accuracy and performance of a global-scale ionospheric tomography method for determining satellite orbits, utilizing single-frequency GNSS measurements combined with a precise point positioning (PPP) algorithm. We compare the tomographic outcomes against orbit determination derived from the GRoup and PHase ionospheric correction (GRAPHIC) observable and based on an ionospheric climatological model. Near the peak of solar cycle 24, the overall accuracy achieved with tomography was around 3.8 m. notably, compared to the background climatological model, tomography demonstrated improvements ranging from 15 to 20%. The GRAPHIC method outperformed tomography, achieving an accuracy of 0.7 m, whereas we obtained around 7 m accuracy when no ionospheric model is employed. Although the developed ionospheric tomography has yet to match the precision of GRAPHIC, our results bring us relatively closer to this objective.
Type
article
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Prol_et_al_2024_GPS.pdf

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