Title :
A local Total Electron Content neural network model over Cyprus
Author :
Haralambous, Haris ; Vrionides, Photos ; Economou, Lefteris ; Papadopoulos, Harris
Author_Institution :
Frederick Univ. Nicosia, Nicosia, Cyprus
Abstract :
This paper presents the application of neural networks for the prediction of the Total Electron Content (TEC) over Cyprus. This ionospheric characteristic constitutes an important parameter in trans-ionospheric links since it is used to derive the signal delay imposed by the ionosphere. The model is based on TEC measurements obtained over a period of 11 years.
Keywords :
geophysics computing; ionospheric electromagnetic wave propagation; ionospheric techniques; neural nets; radiowave propagation; Cyprus; TEC prediction; ionospheric characteristic; local TEC neural network model; total electron content; transionospheric links; Communication system control; Delay estimation; Electrons; Frequency estimation; Global Positioning System; Ionosphere; Neural networks; Predictive models; Satellite broadcasting; Satellite navigation systems;
Conference_Titel :
Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on
Conference_Location :
Limassol
Print_ISBN :
978-1-4244-6285-8
DOI :
10.1109/ISCCSP.2010.5463306
