Paper Info
Title
Developing An Electron Density Profiler Over Europe Based On Space Radio Occultation Measurements
Abstract
This paper presents the development of an Artificial Neural Network electron density profiler based on electron density profiles collected from radio occultation (RO) measurements from LEO (Low Earth Orbit) satellites to improve the spatial and temporal modeling of ionospheric electron density over Europe. The significance in the accurate determination of the electron density profile lies on the fact that the electron density at each altitude in the ionosphere determines the refraction index for radiowaves that are reflected by or penetrate the ionosphere and therefore introduces significant effects on signals (navigation and communication). In particular it represents a key driver for total electron content model development necessary for correcting ionospheric range errors in single frequency GNSS applications.
Year
DOI
Venue
2013
10.1007/978-3-642-41142-7_18
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2013
Keywords
Field
DocType
Ionosphere, radio occultation, electron density profile
Electron density,Satellite,Pattern recognition,Computer science,Radio occultation,Ionosphere,Remote sensing,Artificial intelligence,GNSS applications,Earth's orbit,Artificial neural network,Total electron content
Conference
Volume
ISSN
Citations 
412
1868-4238
0
PageRank 
References 
Authors
0.34
3
2
Name
Order
Citations
PageRank
Haris Haralambous1366.72
Harris Papadopoulos221926.33