• DocumentCode
    1617050
  • Title

    Odometer Aided In-Motion Alignment Based on Strong Tracking Filter for Land Vehicles

  • Author

    Wenshao, Gao ; Xuan, Xiao ; Songtian, Shang ; Zhihong, Deng

  • Author_Institution
    Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • Firstpage
    1514
  • Lastpage
    1517
  • Abstract
    In-motion alignment of strap-down inertial navigation system (SINS) for land use is researched in this paper. Alignment process is accomplished in 10 minutes by using the information from a combined odometer whose installation angles from vehicle body frame (VBF) to INS body frame is not calibrated. The difference of the SINS velocity result and the odometer measured velocity projected to navigation coordinate is taken as the measurement for the filter. Focusing on the problem that the statistic property of measurement noise is vague causing by the installation angles and the inconstant scale factor error of odometer, a strong tracking kalman filter (STKF) is employed and designed in the in-motion alignment of the SINS/OD integration navigation system. The experiment result shows that compared with traditional kalman filter (KF), STKF has faster convergence speed and higher accuracy, particularly in azimuth error improved greatly.
  • Keywords
    Kalman filters; distance measurement; inertial navigation; tracked vehicles; velocity measurement; INS body frame; SINS-OD integration navigation system; STKF; VBF; azimuth error; installation angles; land vehicles; measurement noise statistic property; navigation coordinate; odometer aided in-motion alignment process; strong tracking Kalman filter; vehicle body frame; velocity measurement; Industrial control; SINS; in-motion alignment; odometer aided; strong track filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.398
  • Filename
    6322688