GPS变形监测系统中消除噪声的一种有效方法

GPS变形监测系统的观测资料可看成为与时间有关的数据序列，应用小波分析理论，研究了时间序列观测数据的误差消除问题。结果表明，借助于小波分解与重构，可有效地从强噪声干扰的观测数据序列中提取变形特征。该方法解决了传统处理技术对非平稳、非等时间间隔观测数据序列滤波的局限性问题。

A Novel Method for Reducing Noises in GPS Deformation Monitoring System

The observed data of GPS deformation monitoring system can be described as a kind of data series relating to time. Based on the basic theory of wavelet analysis in this paper, a method of error reduction for the observed data of time series is presented. Practical results show that, by using wavelet decomposition and reconstruction, this method can efficiently extract weak deformation characteristics from the observed data series having strong noises. Moreover, comparing with classic processing techniques, it has excellent features for non-stationary and unequally spatial series data filtering in deformation monitoring.