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基于PCA及提升小波组合算法提取建筑物结构振动信号
引用本文:吴丰波,岳国森,梁敬祖,李业坤,董显富.基于PCA及提升小波组合算法提取建筑物结构振动信号[J].大地测量与地球动力学,2016,36(9):808-812.
作者姓名:吴丰波  岳国森  梁敬祖  李业坤  董显富
摘    要:针对监测结果受测量噪声和多路径等GPS误差影响的问题,提出基于PCA及提升小波的组合算法来提取建筑物结构振动信号。利用PCA空间滤波分离区域站点相关的共模误差,然后利用提升小波变换对振动信号进行降噪,用于提取结构振动信号。以香港某高楼在台风荷载作用下的观测数据为例进行实验,结果表明,此算法有效提高了变形监测的精度。

关 键 词:GPS监测  PCA  提升小波  建筑物结构振动  信号提取  

A Combination Algorithm Based on PCA and Lifting Wavelet to Extract Vibration Signal of Building Structure
WU Fengbo,YUE Guosen,LIANG Jingzu,LI Yekun,DONG Xianfu.A Combination Algorithm Based on PCA and Lifting Wavelet to Extract Vibration Signal of Building Structure[J].Journal of Geodesy and Geodynamics,2016,36(9):808-812.
Authors:WU Fengbo  YUE Guosen  LIANG Jingzu  LI Yekun  DONG Xianfu
Abstract:In order to weaken the influence of GPS errors in vibration monitoring results affected by measurement noise and multipath etc. in the deformation monitoring of buildings, a combined algorithm based on PCA and lifting wavelet transformation is proposed. The PCA spatial filtering method is used to separate the common-mode error, which eliminates the inter-station correlated error. Then, the lifting wavelet transformation is used to de-noise the building structure vibration signal, which is then used to extract structural vibration signals. Taking a tall building in Hong Kong as an example, the results show that the algorithm can effectively improve the accuracy of deformation monitoring.
Keywords:GPS monitor  PCA  lifting wavelet  building structure vibration  signal extraction  
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