• DocumentCode
    126461
  • 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
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929827
  • Filename
    6929827