GPS高层建筑物动态特性的小波分析提取  

Wavelet analysis extraction using GPS high-rise buildings dynamic feature

作　　者：王涛[1] 田林亚[1] 孔令杰[2] 张洋 WANG Tao;TIAN Linya;KONG Lingjie;ZHANG Yang(School of Earth Science and Engineering, Hohai University, Nanjing 211100, China;School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China;Suzhou Geological Engineering Investigation Institu te, Suzhou, Jiangsu 215129, China)

机构地区：[1]河海大学地球科学与工程学院,南京211100 [2]兰州理工大学土木工程学院,兰州730050 [3]苏州地质工程勘察院,江苏苏州215129

出　　处：《测绘科学》2018年第4期100-104,108,共6页Science of Surveying and Mapping

基　　金：江苏省地质矿产勘查局科研项目(2016-KY-03);江苏省研究生科研与实践创新计划项目(KYCX17_0506)

摘　　要：针对高层建筑物GPS动态监测数据特点,该文将小波分析技术应用于高层建筑物动态特性提取,研究了数据处理时4种阈值选取准则的好坏,针对观测数据不同阶段振幅和频率不同,提出分段、分层处理数据的思想,为了获得更全面的观测信号,将小波包分析应用于数据处理。结果表明:自适应阈值准则更适用于高层建筑物动态数据处理,采用分段分层的处理方法,既能满足去噪要求又能提取丰富的变形信息,小波包分析能有效提取高层建筑物动态特性,保留更多的动态信息。According to the characteristics of the high-rise building GPS dynamic monitoring data,wavelet analysis technology was applied to extract dynamic feature in high-rise buildings in this paper,and four kinds of threshold selection criterion were studied according to different phase of observed data with different frequency and amplitude,subsection and delamination processing signal were put forward in order to obtain more comprehensive observation signals,wavelet packet analysis was applied to data processing.The results showed that the adaptive threshold criterion was more suitable for dynamic data processing in high-rise buildings,using segmented and layered method handle signal can de-noising well and extract abundant deformation information,wavelet packet analysis can extract dynamic characteristics in high-rise buildings effectively,and keep more dynamic information.

关 键 词：动态特性 GPS 小波分析 小波阈值去噪 小波包分析 分段 

分 类 号：P228[天文地球—大地测量学与测量工程]