Feasibility study on mining surface subsidence high-precision monitoring using GPS
ZHANG An-bing
ZHANG Zhao-jiang
GAO Jing-xiang
LIU Xin-xia
Abstract：Based on the analysis of GPS signals by the orthogonal wavelet transform and EMD (empirical mode decomposition) filter methods, and considered the characteristics of the surface mining subsidence, a new noise filter and trend extraction model were built up. Then, simulated data and real data (i. e. , GPS data) were used to test the method separately. The following are the conclusions drawn from these tests; for signal with nonlinear trend,theoretic analysis and simulation results show that the new noise filter and trend extraction model is superior to EMD and union simply wavelet and EMD method, it not only can extract instantaneous features, but also reduce the decomposition layers of signals and accumulative end errors on later decomposition. This method improves a lot of accuracy of the extracted deformation; dealing with GPS deformation monitoring data by this model, available highprecision deformation information can be got. The result shows that the accuracy of dynamic monitoring of the vertical deformation can be achieved mm precision.
Keywords：GPSmining surface subsidencedeformation monitorwavelet transformempirical mode decomposition (EMD)
Publication Date：2009-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1322-1327 )