摘要
在分析正交小波变换和EMD方法处理GPS信号能力的基础上,结合矿区沉陷区地表移动特点,提出小波多尺度降噪-EMD变形量信息提取GPS变形监测数据处理模型.研究表明:对包含非线性趋势的测量信号,利用小波正交变换进行去噪和提取EMD分段信号段,再利用EMD分解进行变形趋势提取,具有较高的提取精度;利用小波多尺度降噪-EMD分段变形量提取数据处理模型处理GPS变形监测数据,可以获得高精度的变形量信息,动态变形监测垂直方向的精度可以达到毫米精度.
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.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2009年第10期1322-1327,共6页
Journal of China Coal Society
基金
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)
关键词
GPS
矿区沉陷区
变形监测
小波变换
EMD
GPS
mining surface subsidence
deformation monitor
wavelet transform
empirical mode decomposition （EMD）
