• DocumentCode
    700247
  • Title

    Enhanced noise models for GPS positioning

  • Author

    Soundy, Andrew W. R. ; Panckhurst, Bradley J. ; Molteno, Tim C. A.

  • Author_Institution
    Dept. of Phys., Univ. of Otago, Dunedin, New Zealand
  • fYear
    2015
  • fDate
    17-19 Feb. 2015
  • Firstpage
    28
  • Lastpage
    33
  • Abstract
    We analyze GPS position recordings, and show that they have long term autocorrelation functions. The traditional approach of assuming Gaussian uncertainties is therefore potentially problematic. We suggest some alternative noise models such as the Ornstein-Uhlenbeck process or autoregressive process, that can be used for state estimation.
  • Keywords
    Global Positioning System; autoregressive processes; GPS position recordings; Gaussian uncertainties; Ornstein-Uhlenbeck process; autoregressive process; enhanced noise models; state estimation; Autoregressive processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation, Robotics and Applications (ICARA), 2015 6th International Conference on
  • Conference_Location
    Queenstown
  • Type

    conf

  • DOI
    10.1109/ICARA.2015.7081121
  • Filename
    7081121
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=700247