小波变换下舰船噪声信号识别方法  

Research on recognition method of ship noise signal based on wavelet transform

作　　者：陈宏[1] CHEN Hong(Chongqing Industry and Trade Polytechnic,Chongqing 408000,China)

机构地区：[1]重庆工贸职业技术学院,重庆408000

出　　处：《舰船科学技术》2021年第14期40-42,共3页Ship Science and Technology

基　　金：重庆工贸职业技术学院课题项目(KJQN201903603)

摘　　要：考虑到舰船在海上航行过程中受到海上多种环境因素的干扰,降低了舰船噪声信号的识别性能,为此提出小波变换下舰船噪声信号识别方法研究。基于小波变换原理,对舰船噪声信号进行分解,得到分解后的特征分量,为了消除声呐距离的影响,引入归一化处理方式,提取出舰船噪声信号特征。根据舰船噪声信号的识别形式,计算了舰船噪声信号样本周围的紧密度。基于舰船噪声信号样本的分布情况,设计了舰船噪声信号的识别流程,实现了舰船噪声信号的识别。实验结果表明,小波变换下舰船噪声信号识别方法不仅可以提高舰船噪声信号的识别率,还可以加快识别速度,从而提高了舰船噪声信号的识别能力。Considering that ships are interfered by many environmental factors at sea during sailing,which reduces the recognition performance of ship noise signals,this paper puts forward the research of ship noise signal recognition method based on wavelet transform.Based on the principle of wavelet transform,the ship noise signal is decomposed to get the decomposed feature components.In order to eliminate the influence of sonar distance,the normalized processing method is introduced to extract the ship noise signal features.According to the recognition form of ship noise signal,the tightness around the ship noise signal samples is calculated.Based on the distribution of ship noise signal samples,the recognition process of ship noise signal is designed,and the recognition of ship noise signal is realized.Experimental results show that the recognition method of ship noise signal based on wavelet transform can not only improve the recognition rate of ship noise signal,but also accelerate the recognition speed,thus improving the recognition ability of ship noise signal.

关 键 词：小波变换 舰船航行 噪声信号 特征提取 

分 类 号：TP338[自动化与计算机技术—计算机系统结构]