NEURAL-NETWORK MODELING OF THE IONOSPHERIC ELECTRON-CONTENT AT GLOBAL-SCALE USING GPS DATA

Authors
HERNANDEZPAJARES M JUAN JM SANZ J
Citation
M. Hernandezpajares et al., NEURAL-NETWORK MODELING OF THE IONOSPHERIC ELECTRON-CONTENT AT GLOBAL-SCALE USING GPS DATA, Radio science, 32(3), 1997, pp. 1081-1089
Citations number
10
Categorie Soggetti
Telecommunications,"Engineering, Eletrical & Electronic
Journal title
Radio science → ACNP
ISSN journal
00486604
Volume
32
Issue
3
Year of publication
1997
Pages
1081 - 1089
Database
ISI
SICI code
0048-6604(1997)32:3<1081:NMOTIE>2.0.ZU;2-P
Abstract
The adaptative classification of the rays received from a constellatio n of geodetic satellites (the Global Positioning System (GPS)) by a se t of ground receivers is performed using neural networks. This strateg y allows us to improve the reliability of reconstructing the ionospher ic electron distribution from GPS data. As an example, we present the evolution at global scale of the radially integrated electron density (total electron content (TEC)) for October 18, 1995, coinciding with a n important geomagnetic storm.