基于STA/LTA算法的地脉动有效信号自动识别研究

Study on automatic recognition of effective signal of microtremor based on STA/LTA algorithm

地脉动测试已经广泛应用于工程领域,如测试计算场地特征周期,利用地脉动台阵反演土层剪切波速结构等。但是对地脉动数据规范化处理存在争议。以26个场地采集的108条地脉动测试数据为研究对象,自编反STA/LTA算法程序,从计算方法、特征函数和长短时窗时长的选取,探究STA/LTA算法对于地脉动测试数据处理的可行性。结果表明:STA/LTA算法对地脉动测试数据的干扰信号能够准确、快速地识别,并给出了参数设置的推荐值。提高了地脉动数据处理的速度和数据使用的质量。

At present,the microtremor has been widely used in engineering fields,such as testing and calculating the characteristic period of the site,and inversion of the shear wave velocity structure by using microtremor array,etc.However,there are some controversies about the normalization of the microtremor data.In this paper,108 pieces of the microtremor data collected in 26 sites are used as the research objects,and a self-editing inverse STA/LTA algorithm program is compiled.The feasibility of the STA/LTA algorithm for the microtremor data processing is explored from the perspective of calculation method,feature function and the long and short time window.The results show that the interference signals from the STA/LTA algorithm can be identified accurately and quickly,and the recommended values of parameters setting are given.The speed of data processing and the quality of data using is improved.