A reliable ionospheric model is very important in such fields as satellite positioning and surveying, radiocommunication, space weather and so on. In this way, a correct calculation of Total Electron Content would have many useful implications. In this paper, a novel approach based on Support Vector Machines and used for Total Electron Content estimation is described. It exploits Global Positioning System observables, with encouraging results.

TEC Measurements through GPS and Artificial Intelligence

BARRILE Vincenzo;MORABITO Francesco Carlo;VERSACI Mario
2006-01-01

Abstract

A reliable ionospheric model is very important in such fields as satellite positioning and surveying, radiocommunication, space weather and so on. In this way, a correct calculation of Total Electron Content would have many useful implications. In this paper, a novel approach based on Support Vector Machines and used for Total Electron Content estimation is described. It exploits Global Positioning System observables, with encouraging results.
Artificial intelligence, Electrons, Estimation, Ionosphere, Mathematical models, Radio communication, Weather forecasting Ionospheric model, Space weather, Support Vector Machines, Total Electron Content Global positioning system
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/5252
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