• DocumentCode
    1873320
  • Title

    SINS/GPS integrated system state estimation based on covariance assignment

  • Author

    Shi, Hang ; Zhu, Jihong ; Tian, Haiyan

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
  • fYear
    2006
  • fDate
    19-21 Jan. 2006
  • Lastpage
    586
  • Abstract
    SINS and GPS are widely used. Combining SINS and GPS organically, we can get an reliable integrated navigating system which can overcome the respective defects of the two systems, including signal blockage for GPS and growth of position errors with time for SINS, and develop their advantages to form a complementary structure at the same time. On the basis of using the SINS/GPS integrated navigation system, we introduce the covariance assignment state estimation algorithm not only to enhance the navigational capability and accuracy, but also enhance the robustness of the navigation system
  • Keywords
    Global Positioning System; covariance analysis; inertial navigation; state estimation; Global Positioning System; covariance assignment; integrated system state estimation; strap-down inertial navigation system; Computer science; Covariance matrix; Global Positioning System; Jamming; Laboratories; Radio navigation; Sensor systems; Silicon compounds; Stability; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
  • Conference_Location
    Harbin
  • Print_ISBN
    0-7803-9395-3
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2006.1627690
  • Filename
    1627690