Title :
Performance analysis of artificial neural network based TEC models at different longitudes in the low latitude region
Author :
Sur, Dibyendu ; Paul, A.
Author_Institution :
Guru Nanak Inst. of Technol., Sodepur, India
Abstract :
The highest Total Electron Content (TEC) values in the world normally occur at Equatorial Ionization Anomaly (EIA) region resulting in largest ionospheric range delay values observed for any potential Satellite Based Augmentation System (SBAS). For any Satellite Based Augmentation System (SBAS), reliable forecasting of ionospheric Total Electron Content (TEC) is very essential. Three Neural Network based TEC models have been developed along 77°E, 88°E and 120°E in the low latitude region to characterize the sharp latitudinal variation of TEC and also to study any longitudinal variation of the equatorial ionization characteristics. The effects of the neutral wind over TEC variation have also been observed.
Keywords :
ionospheric techniques; neural nets; total electron content (atmosphere); wind; artificial neural network based TEC models; equatorial ionization anomaly region; ionospheric total electron content; low latitude region; neutral wind effects; satellite based augmentation system; Analytical models; Electron mobility; Ionization; Ionosphere; Neural networks; Performance analysis; Predictive models;
Conference_Titel :
General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
Conference_Location :
Beijing
DOI :
10.1109/URSIGASS.2014.6929827