节点文献

分数维约束下的自适应对消技术研究

Study of Adaptive Cancellation Technology Based on the Fractal Dimension Constraint

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 杨振杨建强

【Author】 YANG Zhen;YANG Jianqiang;Key Laboratory of Marine Mineral Resources,Ministry of Land and Resources;Guangzhou Marine Geological Survey;Survey Team of Coal Geological Bureau of the Inner Mongolia Autonomous Region;

【机构】 国土资源部海底矿产资源重点实验室广州海洋地质调查局内蒙古煤田地质局勘测队

【摘要】 介绍了自适应对消技术的基本原理,分析了自适应对消技术的优缺点,针对一些缺点提出了相应的改进方法。由于常规自适应对消技术是通过迭代技术实现的,需要迭代一定次数后才能确定最佳参数,所以在信号起始位置和有效信号尾部收敛效果不好,从而影响滤波效果。引入hausdorff维数来约束地震信号,首先求取原始地震信号的hausdorff维数谱,利用有效信号与随机噪音维数的不同,将有效信号以外的随机噪音滤除,并将自适应对消中的参考噪声对应位置的随机噪音去除;然后将更新后的地震信号和参考噪声进行自适应滤波,从而得到一个优化的自适应对消滤波器。

【Abstract】 This article describes the basic principles of the adaptive cancellation technology, analysis the advantages and disadvantages of the adaptive cancellation technology, and proposes some corresponding improvement methods about the shortcomings of the adaptive cancellation technology. Since the conventional adaptive cancellation techniques are realized by iteration and need some times to make sure the best parameters,so the starting position of the signal and the tail of the effective signal are not well convergence, thus affecting the filtering effect. The paper used the hausdorff dimension constrain the seismic signal. Firstly, the paper computes the hausdorff dimension of the original seismic signal, and then filters the random noise beyond of the effective signal and the random noise at the relative position in the referenced noise based on the difference of the hasusdorff dimension about the effective signal and random noise; secondly, the paper updates the seismic signal and referenced noise to be adaptive filter, and gains an optimized adaptive cancellation filter.

【关键词】 自适应噪声对消分数维LMSNLMS
【Key words】 Adaptive noise cancellationFractal DimensionLMSNLMS
【基金】 国家专项项目课题(GZH201200508)
  • 【文献出处】 华南地震 ,South China Journal of Seismology , 编辑部邮箱 ,2014年03期
  • 【分类号】P315.6
  • 【下载频次】18
节点文献中: 

本文链接的文献网络图示:

本文的引文网络