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微地震检测技术在工程施工、地质灾害防治等方面有着重要的作用,同时微地震信号又有信号能量弱,易受背景噪声干扰的特性,造成微震信号的初至无法准确拾取,导致微地震事件的定位不准确。该文利用小波阀值降噪技术对微地震检测信号进行降噪处理,并在Matlab平台对微震信号进行实验。通过对小波基特性的分析选出最优小波基,并使用时间序列的噪声检测方法来确定分解层数,再对分解信号通过阀值降噪去掉部分噪声干扰从而达到提高微地震信号信噪比的目的。
Microseismic detection technology plays an important role in engineering construction and geological disaster prevention and control. At the same time, the microseismic signals have the characteristics of weak signal energy and interference with background noise, which makes the first arrival of microseismic signals unable to accurately pick up the microseismic events Inaccurate positioning. In this paper, wavelet threshold noise reduction technique is used to reduce the noise of micro-seismic detection signals and the microseismic signal is tested on the Matlab platform. By analyzing the characteristics of the wavelet base, the optimal wavelet base is selected, and the time series noise detection method is used to determine the number of decomposition layers. Then, the decomposed signal is denoised by the threshold to remove part of the noise interference so as to improve the signal to noise ratio of the microseismic signal the goal of.