Signal extraction for GPS deformation monitoring in mining survey
(1. Key Laboratory for Land Environment and Disaster Monitoring of SBSM,
China University of Mining and Technology, Xuzhou 221116, China;
2. School of Environment and Spatial Informatics, China University of Mining and Technology,
Xuzhou 221116, China)
China University of Mining and Technology, Xuzhou 221116, China;
2. School of Environment and Spatial Informatics, China University of Mining and Technology,
Xuzhou 221116, China)
Abstract: The basic signal model of deformation monitoring with GPS was introduced and the main problems of GPS deformation monitoring in mining area were discussed. For the problem of noise signal extraction in GPS deformation monitoring, the Kalman-EMD method was proposed to obtain the effective deformation signal. The reliability and effectiveness of the methodology were tested and verified by analog signal. The results of experiment in Mongolia show that the accuracy of the proposed GPS deformation monitoring model is equivalent to that of level method.
Key words: deformation monitoring; GPS; Kalman filter; EMD; noise extraction