• DocumentCode
    3153508
  • Title

    An Adaptive Filter for INS/GPS Integrated Navigation System

  • Author

    Shi, Hang ; Wu, Zhou ; Liu, Baosheng

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
  • Volume
    1
  • fYear
    2006
  • fDate
    4-6 Oct. 2006
  • Firstpage
    651
  • Lastpage
    654
  • Abstract
    The integrated navigation system, specially the system based on GPS and INS, is a leading trend of navigation technology, and some of typical integrated navigation systems have been developed and tested in the past few years (Farrell, 1998). But due to the complex application circumstance, it is difficult to describe the noise statistical property accurately. In this paper, a modified adaptive filter algorithm is presented for INS/GPS integrated navigation system. At first, an improved Kalman filter and Hinfin robust filter are explicitly represented for INS/GPS integrated navigation system. Meanwhile, a standard for judging that whether the filter trends to divergence is proposed to combine the two methods. Aiming at the detail position/velocity integrated mode, the computer simulation result of INS/GPS integrated navigation show that this method can restrain the divergence effectively and has better adaptive ability
  • Keywords
    Global Positioning System; adaptive Kalman filters; inertial navigation; Hinfin robust filter; Kalman filter; adaptive filter; global positioning system; inertial navigation system; integrated navigation system; Adaptive filters; Aircraft navigation; Application software; Automation; Filtering algorithms; Global Positioning System; Laboratories; Noise reduction; Noise robustness; Systems engineering and theory; H robust filter; INS/GPS Integrated Navigation [YUA,93]; adaptive filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Engineering in Systems Applications, IMACS Multiconference on
  • Conference_Location
    Beijing
  • Print_ISBN
    7-302-13922-9
  • Electronic_ISBN
    7-900718-14-1
  • Type

    conf

  • DOI
    10.1109/CESA.2006.4281733
  • Filename
    4281733