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时频分析与小波变换在水声定位中的应用

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文章研究一种基于联合时频小波分析的水声目标识别和定位方法.先深入研究时频分析和小波变换的基本原理,构建联合时频小波域的特征表示,再使用MATLAB软件对模拟的水声信号进行实验,并通过添加噪声模拟实际环境.实验结果表明,联合时频小波分析在水声目标识别和定位中表现出良好的性能,特别在噪声环境下表现出良好的健壮性.通过分析目标识别函数和归一化目标识别函数成功定位水下目标,验证了方法的有效性,为水声信号处理提供了一种新的分析方法,为实际应用中的目标检测与定位提供了有益参考.
Application of Time-Frequency Analysis and Wavelet Transform in Underwater Acoustic Localization
This paper studies an underwater acoustic target recognition and localization method based on joint time-frequency wavelet analysis.First,the basic principles of time-frequency analysis and wavelet transform are deeply studied to construct feature representations in the joint time-frequency wavelet domain.Secondly,in the experimental part,MATLAB software was used to conduct experiments on simulated underwater acoustic signals,and the actual environment was simulated by adding noise.The experimental results show that the joint time-frequency wavelet analysis performs well in underwater target recognition and localization,especially in noise environment.By analyzing the target recognition function and normalized target recognition function,we successfully located underwater targets and verified the effectiveness of this method.This article provides a new analysis method for the field of underwater acoustic signal processing,and provides useful references for target detection and localization in practical applications.

time-frequency analysiswavelet transformtarget recognitiontarget positioning

陈剑美、张馨月、姚爱芬、陈静、刘昕伟

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沧州交通学院,河北 沧州 061199

时频分析 小波变换 目标识别 目标定位

沧州交通学院创新训练项目河北省应用技术大学研究会项目

X202314202061JY2023033

2024

电声技术
电视电声研究所(中国电子科技集团公司第三研究所)

电声技术

影响因子:0.259
ISSN:1002-8684
年,卷(期):2024.48(1)
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