• DocumentCode
    2781884
  • Title

    Ionospheric range error correction models

  • Author

    Jakowski, N. ; Hoque, M.M.

  • Author_Institution
    Inst. of Commun. und Navig., German Aerosp. Center, Neustrelitz, Germany
  • fYear
    2012
  • fDate
    25-27 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Single frequency users of Global Navigation Satellite Systems (GNSS) need to correct link related ionospheric range errors of up to 100 m. Since this range error is proportional to the Total Electron Content (TEC) of the ionosphere, correction information can be provided by TEC maps deduced from corresponding GNSS measurements or by model values. In this paper we compare ionospheric correction models such as the Klobuchar (GPS) model, the NeQuick model, and the NTCM-GL model recently developed in DLR. It has been found that the NeQuick and NTCM-GL models show a similar performance which is by a factor of about 2 better than the performance of the Klobuchar model at the European sector. NTCM-GL needs only 12 coefficients and is fed by the solar radio flux index F10.7 to take into account the level of solar activity. Thus, the coefficients are fixed over a full solar cycle, no updating of coefficients is required. Hence, NTCM-GL may easily be used as a correction model for single frequency GNSS applications having a better performance than the Klobuchar model.
  • Keywords
    ionospheric electromagnetic wave propagation; satellite navigation; Global Navigation Satellite Systems; Klobuchar model; NTCM-GL model; NeQuick model; ionospheric range error correction models; solar activity; solar cycle; solar radio flux index; total electron content; Computational modeling; Europe; Global Navigation Satellite Systems; Global Positioning System; Ionosphere; Mathematical model; Solid modeling; GNSS; Ionosphere; correction models; range error;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Localization and GNSS (ICL-GNSS), 2012 International Conference on
  • Conference_Location
    Starnberg
  • Print_ISBN
    978-1-4673-2344-4
  • Electronic_ISBN
    978-1-4673-2342-0
  • Type

    conf

  • DOI
    10.1109/ICL-GNSS.2012.6253110
  • Filename
    6253110