一种基于负熵的Bussgang地震盲反褶积方法

 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。

A negative entropy-based Bussgang seismic blind de-convolotion

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.