• DocumentCode
    2579586
  • Title

    A high sensitivity VDFLL utilizing precise satellite orbit/clock and ionospheric products

  • Author

    Xu, Feng ; Gao, Yang

  • Author_Institution
    Dept. of Geomatics Eng., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2012
  • fDate
    23-26 April 2012
  • Firstpage
    38
  • Lastpage
    43
  • Abstract
    In the VDFLL, the ranging errors will degrade the positioning accuracy as well as the tracking performances. In the paper, a new VDFLL tracking loop minimizing the ranging error by utilizing precise satellite orbit/clock and ionospheric products has been proposed. Unlike the conventional VDFLL, which treats all the measurement errors as zero-mean Gaussian noise with a high variance, the new VDFLL will first reduce the biases using precise satellite orbit/clock and atmospheric delay data and then assign a lower measurement error variance in the EKF. With reduced ranging errors, the positioning accuracy is improved more than 30% and the ranging error and tracking sensitivity of tracking loop are improved by around 3dB.
  • Keywords
    Gaussian noise; Kalman filters; artificial satellites; delay lock loops; frequency locked loops; ionospheric techniques; measurement errors; nonlinear filters; satellite navigation; tracking; EKF; VDFLL tracking loop; atmospheric delay data; conventional VDFLL; high sensitivity VDFLL; ionospheric products; measurement error variance; measurement errors; positioning accuracy; reduced ranging errors; satellite clock; satellite orbit; tracking performances; tracking sensitivity; zero-mean Gaussian noise; Clocks; Indexes; Orbits; Radio frequency; VDFLL; high sensitivity; ionospheric grid; precise orbit/clock;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Position Location and Navigation Symposium (PLANS), 2012 IEEE/ION
  • Conference_Location
    Myrtle Beach, SC
  • ISSN
    2153-358X
  • Print_ISBN
    978-1-4673-0385-9
  • Type

    conf

  • DOI
    10.1109/PLANS.2012.6236862
  • Filename
    6236862