水下无人系统学报2018，Vol.26Issue(1)：28-34,7.DOI:10.11993/j.issn.2096-3920.2018.01.005
一种基于样本熵与EEMD的舰船辐射噪声特征提取方法
A Feature Extraction Method of Ship-Radiated Noise Based on Sample Entropy and Ensemble Empirical Mode Decomposition
摘要
Abstract
To realize the feature extraction of ship-radiated noise in complex ocean environment,the sample entropy is used to extract the features of three types of ship-radiated noise(SRN).Because the sample entropy only analyzes the SRN signal in single scale and it cannot distinguish different types of ships effectively,a new method of SRN feature extraction is presented based on sample entropy and ensemble empirical mode decomposition(EEMD).Firstly,three types of SRN signals are decomposed with EEMD,and the sample entropy of each intrinsic mode function(IMF) is analyzed to select the IMF sample entropy with the highest energy as the feature parameter.Then,by comparing the IMF highest-energy sample entropy of a certain number of the above three types of SRN signals with the sample entropy of SRN signal,it is discovered that the IMF sample entropy with the highest energy is at the same level for similar ship types,but is quite different for different ship types.Test results show that taking the IMF sample entropy with the highest energy as the feature parameter can obtain better separability for ships,compared with SRN sample entropy.关键词
舰船辐射噪声/样本熵/集合经验模态分解/固有模态函数/特征提取Key words
ship-radiated noise(SRN)/sample entropy/ensemble empirical mode decomposition(EEMD)/intrinsic mode function(IMF)/feature extraction分类
军事科技引用本文复制引用
李余兴,李亚安,陈晓,蔚婧..一种基于样本熵与EEMD的舰船辐射噪声特征提取方法[J].水下无人系统学报,2018,26(1):28-34,7.基金项目
国家自然科学基金(51179157,51409214,11574250). （51179157,51409214,11574250）
