• DocumentCode
    1726727
  • Title

    Applied the artificial neural network for reduce the position error on GPS receiver due to ionospheric irregularities

  • Author

    Nontasud, Sarawut ; Leelaruji, Nipha

  • Author_Institution
    Fac. of Eng., Eastern Asia Univ., Pathumthani
  • fYear
    2008
  • Firstpage
    647
  • Lastpage
    651
  • Abstract
    When the GPS signal pass through the ionosphere irregularities effect to rapid fluctuation of signal or scintillation occurred. This effect to the GPS receiver position error. This paper presents the error reduction of GPS receiver due to ionosphere irregularities by artificial neural network. The GPS position error depends on the strength of scintillation which measured in scintillation index or S4 index which due to total electron content (TEC) in the ionosphere. We used the measurement data which include the S4 index to analyze and correct the position error by artificial neural network. The result of this research we found the position error can reduce to less than 1 meter. The positions average close to correct position.
  • Keywords
    Global Positioning System; artificial intelligence; ionospheric electromagnetic wave propagation; neural nets; radio receivers; radiowave propagation; telecommunication computing; GPS receiver position error; Global Positioning System; artificial neural network; data measurement data; ionospheric irregularities; scintillation index; signal fluctuation; total electron content; Artificial neural networks; Computer errors; Earth; Electrons; Equations; Extraterrestrial measurements; Fluctuations; Global Positioning System; Ionosphere; Satellite broadcasting; ionosphere; neural network; scintillation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies, 2008. ISCIT 2008. International Symposium on
  • Conference_Location
    Lao
  • Print_ISBN
    978-1-4244-2335-4
  • Electronic_ISBN
    978-1-4244-2336-1
  • Type

    conf

  • DOI
    10.1109/ISCIT.2008.4700273
  • Filename
    4700273