一种基于负熵的Bussgang地震盲反褶积方法  

A negative entropy-based Bussgang seismic blind de-convolotion

作　　者：印兴耀[1] 刘杰[2] 杨培杰[2] 

机构地区：[1]山东省东营市中国石油大学(华东)地球资源与信息学院地球物理系,257061 [2]中国石油大学(华东)地球资源与信息学院地球物理系

出　　处：《石油地球物理勘探》2007年第5期499-505,共7页Oil Geophysical Prospecting

摘　　要：独立分量分析作为一种新兴的信号处理工具,许多学者对其在地震信号处理领域中的应用进行了初步探讨。本文在Santamaria等提出的自适应高斯混合盲反褶积的基础上,结合独立分量分析中Bussgang类反褶积算法,通过引入约束项,对基于负熵准则的目标函数进行了改进,构造出新的非线性算子;同时采用修正的期望最大化(EM)算法优化反射系数高斯混合模型参数,成功地实现了地震信号的盲反褶积。数值模拟和实际资料处理的结果表明,该方法能较好地适应非最小相位系统,得到原始反射系数的最优估计,而且算法收敛快、精度高,是提高地震资料分辨率的有效手段。Analysis of independent components,as a new signal processing tool, its application in seismic signal processing region has been preliminarily discussed by many scholars. Based on adaptive Gauss hybrid blind deconvolution presented by Mr. San-tamaria et al and in combination with Bussagang deconvolution algorithm in analysis of independent components, the paper improved negative entropy rule-based objective function by introducing constraint item and constructed new non-linear operator; meanwhile, using the updated expected maximization (EM) algorithm to optimize the parameters of Gauss hybrid model of reflection coefficient , successfully implementing the blind deconvolution of seismic signals. The results of numeric simulation and practical data processing showed that the approach could be better suitable for non-minimum phase system,obtain the optimum evaluation of raw reflection coefficient and be characteristic of fast convergence and high precision, which is effective tool for improving the resolution of seismic data.

关 键 词：独立分量分析 盲反褶积 BUSSGANG 负熵 高斯混合模型 期望最大化算法 

分 类 号：P315[天文地球—地震学]