摘要
将现代重要的统计信号处理理论高阶累积量理论引入到地震信号的分析与处理中,提出了一种基于互四阶累积量一维切片的地震信号初至自动拾取方法,并给出了该方法的基本原理与具体算法。该方法利用地震信号横向波形的相似性以及互四阶累积量对高斯色噪声不敏感的特点,实现地震信号初至时间的自动拾取。理论模型计算表明,在强高斯色噪声干扰下该方法仍能对地震信号初至起跳时间进行有效拾取,信噪比达到-3dB;在实际资料应用中,该方法能快速准确地确定地震信号初至点的位置,与人工拾取结果基本一致。
The modern fundamental theory of statistical signal processing is introduced to the analysis and processing of seismic signals.Based on one-dimensional slice of cross-fourth-order cumulants,a novel method of seismic signals detection and first arrival pickup is proposed with the principle and the algorithm.Using horizontal waveform similarities,as well as in allusion to the non-sensibility of one-dimensional slice’s cross-fourth-order cumulants to Gaussian noise,and thereby the method achieves first arrival automatic extracting.The result shows this method can effectively extract first arrival take-off time in the environment of strong Gaussian colored noise interference,and the signal-to-noise ratio reaches-3 dB.In the implementation of real data,this method can quickly and accurately determine the position of seismic signal first arrival,and the results are basically consistent with the manual extraction.
出处
《吉林大学学报（地球科学版）》
EI
CAS
CSCD
北大核心
2011年第2期559-564,571,共7页
Journal of Jilin University：Earth Science Edition
基金
国家“973”计划项目(2009CB219301)
高等学校博士学科点专项基金项目(200801830042)
国家自然科学基金项目(40974054)
关键词
互四阶累积量
一维切片
地震波
初至自动拾取
高斯色噪
cross-fourth-order cumulants； one-dimensional slice； seismic wave； first arrival automatic extraction； colored Gaussian noise；
