• DocumentCode
    1439184
  • Title

    Ionosphere-corrected range estimation in dual frequency global navigation satellite systems receivers

  • Author

    Skournetou, D. ; Lohan, Elena-Simona

  • Author_Institution
    Dept. of Commun. Eng., Tampere Univ. of Technol., Tampere, Finland
  • Volume
    5
  • Issue
    3
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    215
  • Lastpage
    224
  • Abstract
    In global navigation satellite systems (GNSSs), the measurement of the satellite-receiver pseudorange requires the estimation of signal´s delay. Because the accuracy of the latter affects significantly the accuracy of the final position, it is essential to consider the effect of various error sources. Ionosphere is commonly regarded as one of the most influential sources because of the fact that it can significantly delay the signal; therefore it is of paramount importance to mitigate its effects. In theory, a dual-frequency receiver can virtually eliminate the ionospheric effects if higher order effects are ignored. Although such an advantage has been widely recognised in the literature, the effect of the tracking error in the ionospheric correction and inherently on the range estimation is yet to be studied. In this study, the authors investigate the effect of tracking error on the ionosphere-corrected range in dual-frequency receivers and compare the performance of the traditional approach with least square (LS) and constrained LS methods, as well as with a new method for range estimation, proposed by the authors. The results showed that the traditional and LS methods perform well only under the restriction of zero tracking error, whereas the authors´ method has the best average performance.
  • Keywords
    least squares approximations; radio receivers; satellite navigation; GNSS receivers; global navigation satellite systems; ionosphere-corrected range estimation; least square method; satellite receiver pseudorange; signal estimation; zero tracking error;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn.2010.0037
  • Filename
    5704826