小波分析在GPS动态观测中的应用研究

Application of wavelet analysis in GPS dynamic deformation monitoring

由于能够全天候实时获取建筑物动态特性,GPS动态监测技术成为建筑物变形监测的主要方法,GPS监测数据中存在各类复杂因素的影响下的噪声,为变形分析和解释带来困难,如何处理GPS监测数据获取变形信息十分重要。为了准确提取真实变形信息,本文将小波分析技术应用于GPS监测数据处理,研究了小波分析在粗差识别和数据滤波的能力,以某振动平台GPS仿真数据为例进行分析。结果发现,小波分析技术能够探测GPS动态观测中的粗差,其滤波效果优于傅立叶变换滤波。

Due to the ability to acquire building dynamic characteristics in real time around the clock,GPS dynamic monitoring technology has become the main method of building deformation monitoring.There are various kinds of complicated factors in the GPS monitoring data,which brings difficulties for deformation analysis and interpretation.How to process GPS monitoring data is very important for obtaining deformation information.In order to accurately extract the real deformation information,this paper applies the wavelet analysis to GPS monitoring data processing,and studies its ability in gross error recognition and data filtering.Taking GPS simulation data of the vibration platform as an example,it is found that the wavelet analysis can detect the gross error in GPS dynamic observations,and its filtering result is better than Fourier transform filtering.