• DocumentCode
    3371119
  • Title

    Initial alignment for strapdown inertial navigation system based on inertial frame

  • Author

    Sun, Feng ; Cao, Tong ; Xu, Bo ; Ben, Yueyang ; Wang, Yudan

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    3751
  • Lastpage
    3756
  • Abstract
    A initial alignment algorithm in the inertial frame based on the alignment application of Kalman filter was presented. State and observation equations of strapdown inertial navigation system (SINS) are established using Kalman filter by the gravity vector projected in the inertial frame, and the initial alignment of the SINS based on the inertial frame on stationary base was compared with the alignment based on the geographic coordinate frame. The analysis shows that the heading misalignment´s precision was improved, and this method was proved by simulation.
  • Keywords
    Kalman filters; inertial navigation; position control; Kalman filter; geographic coordinate frame; inertial frame; initial alignment algorithm; observation equations; strapdown inertial navigation system; Acceleration; Angular velocity; Automation; Earth; Equations; Gravity; Inertial navigation; Mechatronics; Silicon compounds; Symmetric matrices; Alignment based on inertial frame; Kalman filter; SINS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246606
  • Filename
    5246606