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基于小波能量谱的舰船辐射噪声分类特性分析
引用本文:陈渊,胡伟文,胡韬. 基于小波能量谱的舰船辐射噪声分类特性分析[J]. 兵工自动化, 2009, 28(10): 9-11. DOI: 10.3969/j.issn.1006-1576.2009.10.003
作者姓名:陈渊  胡伟文  胡韬
作者单位:海军工程大学,理学院,湖北,武汉,430033;海军工程大学,理学院,湖北,武汉,430033;海军工程大学,理学院,湖北,武汉,430033
基金项目:海军工程大学自然科学基金 
摘    要:根据舰船辐射噪声的“三亮点”模型,采用小波变换,以不同的频率分辨率获取舰船辐射噪声信号相应3个不同频带的小波能量谱,然后计算小波能量谱突变项的五水平聚点,据此选取能量谱突变性显著的频段,最后对各能量谱聚点作聚类分析实现特征压缩并确定特征量。在舰船声场通过特性研究中的应用表明,该方法具有识别与分类准确率高的特点。

关 键 词:小波能量谱  频率分辨率  λ水平聚点  分类

Classification Characteristic Analysis of Ship Radiated Noise Based on Wavelet Power Spectrum
CHEN Yuan,HU Wei-wen,HU Tao. Classification Characteristic Analysis of Ship Radiated Noise Based on Wavelet Power Spectrum[J]. Ordnance Industry Automation, 2009, 28(10): 9-11. DOI: 10.3969/j.issn.1006-1576.2009.10.003
Authors:CHEN Yuan  HU Wei-wen  HU Tao
Affiliation:CHEN Yuan,HU Wei-wen,HU Tao (College of Science,Naval University of Engineering,Wuhan 430033,China)
Abstract:According to "three-highlight" model of ship radiation-noise, used wavelet transformation and with different frequency change speed to obtain the ship-radiation-noise-related wavelet power-spectrums from three different frequency bands. Then calculated the 2 level focus of wavelet power-spectrums, hereby, frequency bands of sudden change were selected. Finally, realized and ensured characteristics condensation and their measures according to analysis of each power focus. Application shows in ship sound filed, the method has high accuracy of recognition and classification.
Keywords:Wavelet power spectrum  Frequency distinguishability  2 level focus  Classification
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