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弹箭与制导学报 >

2012 , Vol. 32 >Issue 4: 119 - 122,126

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2012.04.008

弹药技术

内爆炸冲击波信号的最佳小波基研究

  • 刘帅 ,
  • 顾晓辉 ,
  • 连赟猛
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  • 南京理工大学机械工程学院,南京 210094

刘帅(1987-),男,河南南阳人,硕士研究生,研究方向:基于小波多尺度内爆炸冲击信号的恢复技术研究。

收稿日期: 2011-12-07

  网络出版日期: 2025-05-29

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The Study on Optimal Wavelet Base of Shock Signal Due to Internal Explosion

  • LIU Shuai ,
  • GU Xiaohui ,
  • LIAN Yunmeng
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  • School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Received date: 2011-12-07

  Online published: 2025-05-29

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摘要

为恢复强噪声干扰下的内爆炸冲击波压力信号,通过分析DbN、SymN及CoifN三种常用小波基的时频特性,结合内爆炸冲击波信号突变快、多峰值的主要特征,比较了三种小波基重构冲击波原始信号的能力以及在强噪声背景下提取特征信号的准确度,Sym10小波显示出较强的信号恢复能力,为内爆炸冲击波信号恢复的最佳小波基。

关键词： 内爆炸; 恢复; 小波基; 多尺度

本文引用格式

刘帅 , 顾晓辉 , 连赟猛 . 内爆炸冲击波信号的最佳小波基研究[J]. 弹箭与制导学报, 2012 , 32(4) : 119 -122,126 . DOI: 10.15892/j.cnki.djzdxb.2012.04.008

Abstract

To recover the shock pressure signal with strong noise due to internal explosion, the time-frequency characteristics of three commonly used wavelet bases contained DbN, SymN and CoifN were analyzed. Considering the rapid mutations and multi-peaks of overpressure, sym10 has the strongest capability to recover shock signal by comparing the different abilities of reconstructing the primary shock wave and the accuracy of extracting characteristic signal under strong-noise among DbN, SymN and CoifN wavelet bases. Thus sym10 is the optimal wavelet base of recovery pressure signal due to internal explosion.

Key words： internal explosion; recovery; wavelet base; multi-resolution

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