定点形变数据中暂态短持时异常信号的检测方法研究  

Research on Detection Methods of Transient Short-Duration Abnormal Signals of Fixed-Point Deformation Data

作　　者：张源[1] 崔庆谷[1] ZHANG Yuan;CUI Qinggu(Yunnan Earthquake Agency,148 Beichen Road,Kunming 650224,China)

机构地区：[1]云南省地震局,昆明市650224

出　　处：《大地测量与地球动力学》2024年第1期100-104,共5页Journal of Geodesy and Geodynamics

基　　金：国家自然科学基金(41874111);云南省地震局科技项目(CQ2-2023-08)。

摘　　要：分别将线性叠加及零延迟相乘算法用于人工合成数据中的暂态信号检测实验,对比2种算法在暂态信号识别中的效果。结果表明,将同台多道、多台多道数据进行零延时相乘能够更有效地压制数据中的干扰和噪声,使准同步暂态信号得到放大凸显,实现暂态异常信号的初步检测与识别。在此基础上,利用零延时相乘算法处理2002~2022年云南定点形变观测数据,从中识别出11组暂态短持时信号,并进一步分析信号与云南境内M_(S)5.0以上地震的时空关联性。In this paper,linear superposition algorithm and zero-delay multiplication algorithm are used in transient signal detection experiments in synthetic data respectively,and their effects in transient signal recognition are compared.The results show that the zero-delay multiplication of multi-channel on the same station and multi-channel on multi-station data can suppress the interference and noise more effectively,magnify the quasi-synchronous transient signal,and realize the preliminary detection and recognition of transient abnormal signal.On this basis,the zero-delay multiplication algorithm is used to process the fixed-point deformation observation data of Yunnan from 2002 to 2022,and 11 sets of transient short-duration signals are identified from the data,and the spatio-temporal correlation between the signals and the earthquakes above M_(S)5.0 in Yunnan is further analyzed.

关 键 词：暂态短持时信号 同类同分向数据 零延迟相乘 信号检测与识别 

分 类 号：P315[天文地球—地震学]