• DocumentCode
    2871288
  • Title

    Research on INS/terrestrial Pseudo-Range Integrated Navigation

  • Author

    Kang, Zhang ; Huibing, Shao ; Hao, Yu ; Zhicheng, Li

  • Author_Institution
    Beijing Inst. of Control & Electron. Technol., Beijing, China
  • Volume
    9
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Based on direct sequence spread spectrum code and varies frequencies, the terrestrial pseudo ranging system have high precision and strong anti-jamming capability and could enhance the navigation accuracy of aircraft by fusion with Integrated Navigation System (INS). A fusion method of pseudo-range measurements and inertial sensor data in INS/Pseudo-Range navigation system was proposed in this paper. Extended Kalman Filter (EKF) which is commonly used in integrated navigation inherits Kalman Filter (KF)´s advantage in having good computational efficiency, but often leads to unstable estimations. Unscented Kalman Filter (UKF) is recently suggested for stability improvements, and it is more suitable for nonlinear filter. The comparison between theses two nonlinear filter in the INS/Pseudo-Range integrated navigation was also conducted.. Simulation results show that the UKF approach offers better performances over EKF.
  • Keywords
    Kalman filters; aircraft navigation; code division multiple access; inertial navigation; matrix algebra; nonlinear filters; spread spectrum communication; EKF; INS; aircraft navigation; direct sequence spread spectrum code; extended Kalman filter; integrated navigation system; nonlinear filter; pseudo-range measurement fusion method; terrestrial pseudo-range integrated navigation system; unscented Kalman filter; Accuracy; Aircraft navigation; Equations; Estimation; Kalman filters; Mathematical model; EKF; INS/Pseudo-Range; UKF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5623037
  • Filename
    5623037