• DocumentCode
    515097
  • Title

    Application of Kalman Filter Method to the Date Processing of GPS Deformation Monitoring

  • Author

    Yuan, Debao ; Cui, Ximin ; Fan, Dongli ; Feng, Weiguang ; Yu, Yiju

  • Author_Institution
    Coll. of Geosci. & Surveying Enginneering, CUMT, Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    269
  • Lastpage
    272
  • Abstract
    As a dynamic data processing method, Kalman filter is widely applied in deformation monitoring data processing. Kalman filter can effectively remove the noise to extract the real deformation information. It´s a process of anticipation and amendment constantly. In the solution, a new state of the system can be got by the use of new observation values, and it is convenient to the real-time processing of observations. In this paper, GPS deformation monitoring data is processed by recursive Kalman filter. The method works well in eliminating the noise with evident effect, which has certainly profits to processes the monitor data of distortion by GPS .
  • Keywords
    Global Positioning System; Kalman filters; condition monitoring; deformation; GPS deformation monitoring; deformation monitoring data processing; dynamic data processing method; recursive Kalman filter; Computer science education; Computerized monitoring; Data mining; Data processing; Extraterrestrial measurements; Filtering theory; Global Positioning System; Kalman filters; Shape; State estimation; GPS; Kalman filtering; deformation monitoring; recursive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6388-6
  • Electronic_ISBN
    978-1-4244-6389-3
  • Type

    conf

  • DOI
    10.1109/ETCS.2010.590
  • Filename
    5460359