• DocumentCode
    2835421
  • Title

    Method based on H _ 8 Filter and Kalman Filter for Gravity Anomaly Distortion Correction

  • Author

    Liye, Zhao ; Hongsheng, Li ; Bailing, Zhou ; Kunyu, Li

  • Author_Institution
    Sch. of Instrum. Sci. & Eng., Southeast Univ., nanjing
  • fYear
    2008
  • fDate
    Aug. 29 2008-Sept. 2 2008
  • Firstpage
    879
  • Lastpage
    883
  • Abstract
    Based on the strong robust performance of filter for the uncertainty of the system model and noises, a new method based on filter and Kalman inverse filter for gravity anomaly distortion correction is proposed to ameliorate the performance of single inverse Kalman filter. This method deduces the system state equation according to the transfer function of actual gravimeter system firstly, then filter is used to inhibit the influence of the measurement noises, finally inverse Kalman filter is adapted and the corrected gravity anomaly signal is obtained. Simulations using actual measurement data proved that the decay introduced by measurement noises of gravity anomaly correction procedure had been effectively inhibit and the precision of system had been improved apparently.
  • Keywords
    Kalman filters; H _ infin filter; Kalman filter; gravity anomaly distortion correction; system state equation; Distortion measurement; Equations; Gravity; Inertial navigation; Information filtering; Information filters; Kalman filters; Noise measurement; Predistortion; Time measurement; Kalman inverse filter; distortion correction; filter; gravimeter; gravity anomaly;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3308-7
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2008.149
  • Filename
    4624993