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MCZT在气枪震源信号频谱分析中的应用
引用本文:董明荣,符力耘,杨军,李孝宾,叶泵,张艳,魏伟,卢晓林. MCZT在气枪震源信号频谱分析中的应用[J]. 地震工程学报, 2020, 42(3): 646-652
作者姓名:董明荣  符力耘  杨军  李孝宾  叶泵  张艳  魏伟  卢晓林
作者单位:中国科学院地质与地球物理研究所中国科学院地球与行星物理院重点实验室, 北京 100029;中国科学院地球科学研究院, 北京 100029;楚雄州地震局, 云南 楚雄 675000;中国科学院地质与地球物理研究所中国科学院地球与行星物理院重点实验室, 北京 100029;中国科学院地球科学研究院, 北京 100029;中国石油大学(华东)地球科学与技术学院, 山东 青岛 266580;中国地震局滇西地震预报实验场, 云南 大理 671000
基金项目:中国地震局地震科技星火计划项目(XH17031SX);云南省陈颙院士工作站(2014IC007)
摘    要:气枪震源信号是短时非平稳信号,采用频谱细化算法能提高频谱分析的准确性。首先进行了改进线性调频Z变换(MCZT)和FFT两种频谱分析算法的误差仿真计算,然后进行气枪震源的水下子波信号和地震波信号的对比计算。结果表明MCZT计算误差较小、计算时间较少,能有效提高气枪震源信号频率和幅度特征提取的准确性,是气枪震源信号频谱特征分析的一个有效方法。

关 键 词:气枪震源  水下子波  地震波  频谱细化  改进线性调频Z变换(MCZT)
收稿时间:2018-04-12

Application of the Modified Chirp-Z Transform in SpectrumAnalysis of Air-gun Seismic Source Signals
DONG Mingrong,FU Liyun,YANG Jun,LI Xiaobin,YE Beng,ZHANG Yan,WEI Wei,LU Xiaolin. Application of the Modified Chirp-Z Transform in SpectrumAnalysis of Air-gun Seismic Source Signals[J]. China Earthguake Engineering Journal, 2020, 42(3): 646-652
Authors:DONG Mingrong  FU Liyun  YANG Jun  LI Xiaobin  YE Beng  ZHANG Yan  WEI Wei  LU Xiaolin
Affiliation:Key Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;Institutions of Earth Science, Chinese Academy of Sciences, Beijing 100029, China;Earthquake Agency of Chuxiong Prefecture, Chuxiong 675000, Yunnan, China;Key Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;Institutions of Earth Science, Chinese Academy of Sciences, Beijing 100029, China;School of Geosciences, China University of Petroleum(East China), Qingdao 266580, Shandong, China;Western Yunnan Earthquake Prediction Study Area, China Earthquake Administration, Dali 671000, Yunnan, China
Abstract:The air-gun seismic source signal is a kind of short-time non-stationary signal, and the spectral zoom algorithm can improve the accuracy of the spectral analysis of such signals. In this study, the error simulation calculations of the two spectral analysis algorithms of a modified chirp-Z transform (MCZT) and fast Fourier transform (FFT) were carried out. Second, the underwater wavelet signal and seismic wave signal of the air-gun seismic source were calculated and compared. The results show that the MCZT algorithm has a smaller error and its computation time is less than that of the FFT. It can effectively improve the extraction accuracy of the frequency and amplitude feature of air-gun seismic source signals. This indicates that the MCZT algorithm is an effective method to analyze the spectrum characteristics of air-gun seismic source signals.
Keywords:air-gun seismic source  underwater wavelet  seismic wave  spectrum zoom  modified chirp-Z transform (MCZT)
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