• DocumentCode
    2435319
  • Title

    The Application and Design of EKF Smoother Based on GPS/DR Integration for Land Vehicle Navigation

  • Author

    Zhang, Haitao ; Rong, Jian ; Zhong, Xiaochun ; Yang, Huajun ; Xiao, Huajun ; Zhang, Ling

  • Author_Institution
    Sch. of Phys. Electron., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • Volume
    1
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    704
  • Lastpage
    707
  • Abstract
    This paper proposes a land vehicle navigation algorithm based on the global positioning system (GPS) and the dead reckoning (DR).To achieve high location and velocity accuracy , the extended Kalman filter smoother (EKF-smoother) is introduced for GPS/DR integrated navigation system. And the algorithm of the EKF and the EKF-smoother is given. Further, the state models and the measurement models of GPS/DR are set up. For comparision purpose, the algorithm performance of EKF and EKF-smoother is contrasted. Numerical results demonstrate that the proposed EKF-smoother algorithm gives much higher navigation accuracy than EKF algorithm for land vehicle navigation. The algorithm has obvious advantages of high accuracy.
  • Keywords
    Global Positioning System; Kalman filters; vehicles; EKF smoother; GPS-DR integration; dead reckoning; extended Kalman filter smoother; global positioning system; land vehicle navigation; Conferences; Global Positioning System; Industrial electronics; Kalman filters; Land vehicles; Navigation; Noise measurement; Sampling methods; Stability; State estimation; EKF-smoother; the Extended Kalman filter; the dead reckoning; the global positioning system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.131
  • Filename
    4756651