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
Link To Document