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《Journal of China Coal Society》 2009-10
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Feasibility study on mining surface subsidence high-precision monitoring using GPS

ZHANG An-bing1,2,ZHANG Zhao-jiang1,2,GAO Jing-xiang2,LIU Xin-xia1 ( 1. School of Resource,Hebei University of Engineering,Handan 056021,China; 2. School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou 221008,China)  
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.
【Fund】: 国家自然科学基金资助项目(40774010);; 教育部博士点基金资助项目(200802900501);; 地理空间信息工程国家测绘局重点实验室开放基金资助项目(200812)
【CateGory Index】: TD325.4
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【Co-citations】
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1 LI Xuan①,DAI Wu-jiao①,CHEN Yong-qi②,ZHU Jian-jun①,LI Li①(①Department of Survey Engineering and Geomatics,Central South University,Changsha 410083,China;②Department of Land Surveying and Geo-informatics,Hong Kong Polytechnic University,HongKong,China);GPS dynamic deformation analyse based on wavelet transform[J];Science of Surveying and Mapping;2008-06
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