• DocumentCode
    174708
  • Title

    A new in-motion initial alignment for land-vehicle SINS/OD integrated system

  • Author

    Jie Hu ; Xianghong Cheng

  • Author_Institution
    Key Lab. of Micro-Inertial Instrum. & Adv. Navig. Technol., Southeast Univ., Nanjing, China
  • fYear
    2014
  • fDate
    5-8 May 2014
  • Firstpage
    407
  • Lastpage
    412
  • Abstract
    An in-motion initial alignment algorithm for Strapdown Inertial Navigation System (SINS) aided by the odometer (OD) is described. Because the vehicle velocity provided by the odometer is of high accuracy, the odometer dead-reckoning results are used as aiding information. In the fine alignment, a Kalman filter is designed, which uses the deviation of velocity and attitude between the SINS and the odometer dead-reckoning results as the measurements. After 30 seconds of stationary-based coarse alignment, the Vehicle leaves for destination at once. During the fine alignment period, the vehicle requires neither special maneuvering nor the helps of the waypoints on the road. It meets the requirements of modern weapons war for rapid response and mobile operations. Simulation results indicate that, the heading error of SINS is less than 4´ after ten minutes fine alignment. The accuracy of the odometer aided vehicle SINS in-motion alignment is enhanced greatly by using the proposed approach.
  • Keywords
    Kalman filters; distance measurement; inertial navigation; Kalman filter design; SINS heading error; fine alignment period; in-motion initial alignment algorithm; land-vehicle SINS-OD integrated system; mobile operation; odometer dead-reckoning; stationary-based coarse alignment; strapdown inertial navigation system; time 30 s; vehicle velocity; war weapon; Accuracy; Equations; Mathematical model; Navigation; Silicon compounds; Vectors; Vehicles; Strapdown Inertial Navigation System (SINS); dead-reckoning; initial alignment; inmotion; odometer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Position, Location and Navigation Symposium - PLANS 2014, 2014 IEEE/ION
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    978-1-4799-3319-8
  • Type

    conf

  • DOI
    10.1109/PLANS.2014.6851398
  • Filename
    6851398