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离散小波变换在被动声目标识别中的应用
引用本文:蒋永生,闵刚,陈功,刘光云. 离散小波变换在被动声目标识别中的应用[J]. 军事通信技术, 2008, 0(2)
作者姓名:蒋永生  闵刚  陈功  刘光云
作者单位:解放军理工大学通信工程学院研究生2队;中国人民解放军92830部队;解放军理工大学训练部;
摘    要:研究了战场被动声目标鲁棒特征参数的提取,分析了战场声信号与语音信号特征的相似性,提出基于MFCC参数的战场声目标识别方法。针对战场环境存在强噪声干扰情况,提出一种改进的MFCC特征参数(DWTMFCC)提取方法,该方法将小波分析和MEL倒谱分析结合,提高了特征参数的鲁棒性。仿真结果表明:在噪声条件下,利用DWTMFCC参数进行声目标识别,平均识别率比MFCC参数高出3.134个百分点,信噪比为5dB时,识别率仍达到93.67%。

关 键 词:被动声目标  美尔倒谱参数  离散小波变换  鲁棒性  

Application of Discrete Wavelet Transformation for Passive Acoustic Target Identification
JIANG Yong-sheng,MING Gang,CHEN Gong,LIU Guang-yun. Application of Discrete Wavelet Transformation for Passive Acoustic Target Identification[J]. Journal of Military Communications Technology, 2008, 0(2)
Authors:JIANG Yong-sheng  MING Gang  CHEN Gong  LIU Guang-yun
Affiliation:JIANG Yong-sheng1,MING Gang1,CHEN Gong2,LIU Guang-yun3(1.Postgraduate Team 2 ICE,PLAUST,Nanjing 210007,China,2.Unit 92830 of PLA,Haikou 570311,3.Training , Academics Department,China)
Abstract:The robust feature parameters extraction for Field Passive Acoustic Target(FPAT) identification was studied.The similarity between the field acoustic signal and speech signal was analyzed.A new lodge field acoustic target identification method was proposed based on Mel Frequency Cepstrum Coefficient(MFCC).As stronger noise exists in the field,an improved MFCC parameters(DWTMFCC) was also presented.DWTMFCC parameters extraction combined Discrete Wavelet Transform(DWT) analysis with Mel frequency cepstrum ana...
Keywords:passive acoustic target  MFCC  discrete wavelet transform  robust  
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