• DocumentCode
    2638009
  • Title

    Geomagnetism aided inertial navigation system

  • Author

    Liu, Ying ; Wu, Meiping ; Hu, Xiaoping ; Xie, Hongwei

  • Author_Institution
    Coll. of Mechatron. & Autom., Nat. Univ. of Defense Technol., Changsha
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Geomagnetic field is one of the geophysical fields of the Earth and can be used to limit the error accumulation of the inertial navigation system (INS). A geomagnetic aided navigation system is proposed in the paper. Two alternate processes are designed in the system - the match and the filter. In the former part, a contour constraint based correlation method is used to eliminate the initial position error of the system, greatly reducing the computational burden of the whole system. Heading error can be effectively estimated by an iterative closest point (ICP) algorithm. In the filter part, a linear Kalman filter is designed to update INS continuously. Position measurements are given by a ldquonearest pointrdquo principle and the position error caused by this principle does not accumulate with time, which leads to a nearest point based Kalman filter (NPKF). Geomagnetic anomaly maps are used to test the proposed system, and good performance is observed.
  • Keywords
    Kalman filters; geomagnetism; inertial navigation; iterative methods; contour constraint based correlation method; geomagnetic anomaly maps; geomagnetism; inertial navigation system; iterative closest point algorithm; linear Kalman filter; nearest point based Kalman filter; Correlation; Earth; Geomagnetism; Geophysics computing; Inertial navigation; Iterative algorithms; Iterative closest point algorithm; Matched filters; Nonlinear filters; Process design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-3908-9
  • Electronic_ISBN
    978-1-4244-2386-6
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2008.4776291
  • Filename
    4776291