基于自适应极化滤波的地下浅层P/S波解耦方法
DOI:
作者:
作者单位:

1.中北大学信息与通信工程学院 太原 030051; 2.中北大学省部共建动态测试技术国家重点实验室 太原 030051

作者简介:

通讯作者:

中图分类号:

TP391

基金项目:

国家自然科学基金面上项目(62271453)资助


Shallow subsurface P/S waves based on adaptive polarization filtering decoupling method
Author:
Affiliation:

1.School of Information and Communication Engineering, North University of China,Taiyuan 030051, China; 2.State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对地下爆炸近场横纵波场混叠,造成P波震动场难以重建的问题,提出基于自适应极化滤波的横纵波分离解耦方法。首先,通过分数阶Hilbert变换获取波场中P/S波瞬时极化分布,提高混叠特征信息精细化分析的能力。其次,利用ACM提取出P/S波瞬时极化角度信息,并以极化度实现P波、P/S波识别;再次,设计利用角度信息构建空间极化滤波器。最后,进行仿真验证并讨论分析不同调制因子和不同特性组合的分离解耦效果。通过实验仿真结果表明:本方法能够有效实现波场分离解耦,在方向性调制因子为10时,振幅性调制因子为3时,分离准确度达到96.5%,分离解耦效果最佳。

    Abstract:

    In order to solve the problem that the P-wave vibration field is difficult to reconstruct due to the aliasing of the near-field transverse and longitudinal wave field in underground explosion, a new method of transverse and longitudinal wave separation and decoupling based on adaptive polarization filtering is proposed in this paper. Firstly, the instantaneous polarization distribution of P/S wave in the wave field is obtained by fractional order Hilbert transform to improve the ability of fine analysis of feature information. Secondly, the instantaneous polarization Angle information of P/S wave is extracted by ACM, and P/S wave and P/S wave are recognized by polarization degree. Thirdly, the Angle information is used to construct the spatial polarization filter. Finally, the separation and decoupling effects of different modulation factors and different characteristic combinations are discussed and analyzed by simulation. The experimental simulation results show that the proposed method can effectively realize the separation and decoupling of wave field. When the directional modulation factor is 10 and the amplitude modulation factor is 3, the separation accuracy reaches 96.5%, and the separation and decoupling effect is the best.

    参考文献
    相似文献
    引证文献
引用本文

曾援,李剑,马明星,贺斌,刘瑞.基于自适应极化滤波的地下浅层P/S波解耦方法[J].电子测量技术,2023,46(23):181-187

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-03-21
  • 出版日期: