• DocumentCode
    1854985
  • Title

    Performance analysis of adaptive vector tracking loop

  • Author

    Yu Luo ; Yongqing Wang ; Yuanxing Ma

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • Volume
    3
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    2166
  • Lastpage
    2170
  • Abstract
    In this paper, the mean square error of the pseudorange residual and the pseudorange-rate residual is analyzed for evaluating the performance of vector delay/frequency lock loop (VDFLL). The residual is related to the error of navigation filter using extended Kalman filter. The expressions derived from least squares estimator, weighted least squares estimator and Kalman filter are presented and compared. And the influence on the performance of inaccurate covariance matrix of the observation noise is analyzed. Finally, the simulation results prove the analysis result and show the remarkable adaptability of vector tracking loop. The conclusion in this paper can be referenced and utilized in scheming vector delay/frequency lock loops.
  • Keywords
    Kalman filters; delay lock loops; frequency locked loops; least squares approximations; matrix algebra; navigation; VDFLL; adaptive vector tracking loop; covariance matrix; extended Kalman filter; mean square error; navigation filter; pseudorange-rate residual; vector delay-frequency lock loop; vector tracking loop; weighted least squares estimator; extended Kalman filter(EKF); least squares estimator(LSE); vector delay/frequency lock loop (VDFLL); weighted least squares estimator (WLSE);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6492010
  • Filename
    6492010