• DocumentCode
    3059688
  • Title

    H∞ filter compared with EKFapplied in GPS dyanmic locating

  • Author

    You-rong, Chen ; Xiao-yu, Shao ; Jie, Li ; Xiao-li, Xi

  • Author_Institution
    Northwestern Polytech. Univ., Xi´´an
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    289
  • Lastpage
    292
  • Abstract
    A Hinfin filter based on GPS dynamic locating method is put forward in this paper. The proposed method is able to decrease the current acceleration model error. Some examples show that the method can perform better in GPS dynamic locating than EKF for less computation consumption and higher locating accuracy.
  • Keywords
    Global Positioning System; Kalman filters; Global Positioning System; Hinfin filter; current acceleration model error; dynamic locating; extended Kalman filter; Acceleration; Adaptive filters; Clocks; Computational Intelligence Society; Doppler shift; Electronic mail; Equations; Global Positioning System; High performance computing; Uncertain systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 2008. NAECON 2008. IEEE National
  • Conference_Location
    Dayton, OH
  • ISSN
    7964-0977
  • Print_ISBN
    978-1-4244-2615-7
  • Electronic_ISBN
    7964-0977
  • Type

    conf

  • DOI
    10.1109/NAECON.2008.4806560
  • Filename
    4806560
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3059688