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TEC forecasting based on manifold trajectories

Author
Monte, E.; Garcia-Rigo, A.; Hernandez, M.; Yang, H.
Type of activity
Journal article
Journal
Remote sensing
Date of publication
2018-06-22
Volume
10
Number
7
First page
988
Last page
1013
DOI
https://doi.org/10.3390/rs10070988 Open in new window
Project funding
Tecnologías de aprendizaje profundo aplicadas al procesado de voz y audio
Repository
http://hdl.handle.net/2117/118444 Open in new window
URL
http://www.mdpi.com/2072-4292/10/7/988 Open in new window
Abstract
In this paper, we present a method for forecasting the ionospheric Total Electron Content (TEC) distribution from the International GNSS Service’s Global Ionospheric Maps. The forecasting system gives an estimation of the value of the TEC distribution based on linear combination of previous TEC maps (i.e., a set of 2D arrays indexed by time), and the computation of a tangent subspace in a manifold associated to each map. The use of the tangent space to each map is justified because it allows m...
Citation
Monte, E., Garcia-Rigo, A., Hernandez, M., Yang, H. TEC forecasting based on manifold trajectories. "Remote sensing", 22 Juny 2018, vol. 10, núm. 7, p. 988-1013.
Keywords
Forecasting, GNSS, Ionosphere, Tangent distance, Total electron content
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
IonSAT - Ionospheric determination and navigation based on Satellite And Terrestrial systems
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

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