• DocumentCode
    3007567
  • Title

    Modeling and prediction of TEC in China region for satellite navigation

  • Author

    Chunli, Dai ; Jinsong, Ping

  • Author_Institution
    Shanghai Astron. Obs., Chinese Acad. of Sci., Shanghai, China
  • fYear
    2009
  • fDate
    8-10 Oct. 2009
  • Firstpage
    310
  • Lastpage
    313
  • Abstract
    The satellite navigation system needs the forecast of the ionosphere. It´s indispensable to select an efficient ionospheric model and predict the value of TEC. In this paper, the Klobuchar14 parameter model is introduced and the time series of the 14 parameters for ten years are generated by fitting the TEC in China region with the model. Then, with the two-variable regression analysis, the relationship between the time series and the sunspot and the 10.7 cm solar radio flux is established. In addition, the periodic function is introduced to fit the time series. Finally, with the AR model, the series of the 14 parameters are predicted and the forecast of the TEC in China region is produced. The accuracy assessment of the prediction shows the feasible of this method.
  • Keywords
    autoregressive processes; ionospheric electromagnetic wave propagation; regression analysis; satellite navigation; time series; AR model; China region; Klobuchar14 parameter model; TEC; autoregressive model; ionospheric model; periodic function; satellite navigation system; solar radio flux; sunspot; time series; total electron content; two-variable regression analysis; Artificial satellites; Delay; Electrons; Global Positioning System; Ionosphere; Observatories; Predictive models; Satellite broadcasting; Satellite navigation systems; Weather forecasting; 14 parameters; forecast; ionosphere; klobuchar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4784-8
  • Electronic_ISBN
    978-1-4244-4785-5
  • Type

    conf

  • DOI
    10.1109/APCC.2009.5375628
  • Filename
    5375628