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 :
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