戴建彪;岳东杰;汤同旭;陈健;

• 1:河海大学地球科学与工程学院

摘要(Abstract)：

针对EMD分解后直接舍去高频含噪信号可能会导致有用信息的丢失,以及小波阈值去噪中采用全局阈值去噪效果不完善等问题,该文提出了一种基于SSA的改进EMD-Wavelet耦合模型运用于桥梁索塔GPS监测信号去噪。即先对原始监测信号进行奇异谱分析,提取信号的趋势项和周期项,分析不同阶段的信号特性从而对其进行合理分段。在对经过EMD分解后的高频信号进行小波去噪时,根据信号的分段结果和给定的阈值计算函数进行分段分层取阈值。结果表明,该方法能很好地对原始坐标序列进行降噪,并且各项评价指标均优于SSA重构去噪法、EMD分解去噪法和EMD-Wavelet全局阈值去噪法,去噪效果更佳,这为索塔监测数据信号提取提供了有意义的参考。

关键词(KeyWords)： 桥梁索塔GPS监测;奇异谱分析;经典模态分解;小波变换;去噪

Abstract:

Keywords:

基金项目(Foundation):

作者(Authors): 戴建彪;岳东杰;汤同旭;陈健;

DOI: 10.16251/j.cnki.1009-2307.2019.09.022

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