基于小波的装甲声信号特征分析及滤波方法

Filtering Method Based on Wavelet Transform of Armored Targets Sound Signal

针对小波变换识别和提取装甲目标声信号特征,提出了基于小波变换的装甲声信号特征分析及滤波方法。该方法在分析装甲声信号产生原因的基础上选取db7小波6层分解,利用小波变换分解重构原始声信号,进行各频带相对能量分布分析,并结合低通滤波器进行对比实验。实验表明,装甲声信号呈现明显的低频特征,频率特征主要集中在20Hz、40Hz和80Hz附近,其中20Hz和40 Hz处能量分布集中;低通滤波器不能对低频信号特征进行分析,而该方法可以准确全面地提取声信号的能量特征。

This paper proposed a analysis method of characteristics of armor acoustic signal based on wavelet transform.According to the analysis of the cause of the acoustic signal,this method reconstructed the original sound signal change by using 6decompositions of db7 wavelet to analyze the energy distribution of each frequency band,which compared with the low-pass filter.Experiment showed that armor target acoustic signal presented the obvious characteristics of low frequency,which were mainly concentrated in near 20 Hz,40Hz and 80 Hz,especially the energy distribution of near 20 Hz and 40 Hz.Comparing with low-pass filter,the wavelet transform could be extracted the energy characteristics of the armor acoustic signal accurately and comprehensively.