• DocumentCode
    3514877
  • Title

    Hybrid derivative-free EKF for USBL/INS tightly-coupled integration in AUV

  • Author

    Geng, Yanrui ; Sousa, Joao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Porto, Porto, Portugal
  • fYear
    2010
  • fDate
    21-23 June 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a novel hybrid derivative-free extended Kalman filter, which takes advantage of both the linear time propagation of the Kalman filter and nonlinear measurement propagation of the derivative-free extended Kalman filter. The proposed filter is very suitable for the tightly coupled integration navigation system which consists of USBL or GPS with INS. The computation burden is reduced sharply compare to nonlinear estimation method such as the unscented Kalman filter (UKF). Simulations are conducted to illustrate the effectiveness of the proposed Kalman filter. The performance of the novel filter is as good as that of the UKF in integration navigation.
  • Keywords
    Kalman filters; estimation theory; inertial navigation; remotely operated vehicles; underwater vehicles; AUV; GPS; USBL/INS tightly coupled integration; extended Kalman filter; global positioning system; hybrid derivative free EKF; inertial navigation system; integration navigation system; linear time propagation; nonlinear estimation method; nonlinear measurement propagation; ultra short baseline; Equations; Estimation; Jacobian matrices; Kalman filters; Mathematical model; Navigation; Trajectory; Acoustic applications; Inertial navigation; Kalman filtering; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous and Intelligent Systems (AIS), 2010 International Conference on
  • Conference_Location
    Povoa de Varzim
  • Print_ISBN
    978-1-4244-7104-1
  • Type

    conf

  • DOI
    10.1109/AIS.2010.5547035
  • Filename
    5547035