• DocumentCode
    231413
  • Title

    An improved method for gravity disturbances compensation in INS/GPS integrated navigation

  • Author

    Dongkai Dai ; Xingshu Wang ; Dejun Zhan ; Zongsheng Huang ; Hao Xiong

  • Author_Institution
    Sch. of Opto-Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    148
  • Lastpage
    153
  • Abstract
    Though the gravity-induced velocity and position errors can be easily dumped in GPS/INS integrated navigation, the attitude estimation errors are more affected by the gravity disturbance errors. In this paper, an improved gravity disturbance compensation method is performed to reduce the gravity-induced attitude measurement error in inertial navigation system (INS) and global positioning system (GPS) integrated navigation. Specifically, the long and medium wavelength components of the gravity disturbance are compensated by using the EGM2008 global gravity model, and then a derivative second-order Gauss-Markov process is adopted as a statistical model of the short-wavelength components, which are estimated and removed online by a Kalman filter. Simulations results show that the proposed statistical model can decouple the short-wavelength components of gravity disturbances from the attitude errors. Therefore, the attitude errors are reduced effectively when the improved compensation method is applied.
  • Keywords
    Global Positioning System; Kalman filters; Markov processes; inertial navigation; EGM2008 global gravity model; GPS integrated navigation; Global Positioning System integrated navigation; INS integrated navigation; Kalman filter; gravity-induced attitude measurement error; improved gravity compensation method; inertial navigation system; second-order Gauss-Markov process; statistical model; Global Positioning System; Gravity; Mathematical model; Numerical models; Sensors; Stochastic processes; Gauss-Markov process; INS/GPS integrated system; gravity disturbance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7014987
  • Filename
    7014987