舰船辐射噪声广义多尺度数学形态学特征提取与应用研究

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振动与冲击 ›› 2022, Vol. 41 ›› Issue (4) : 21-28.

论文

郭政1,2，赵梅1，胡长青1，倪俊帅1,2

作者信息 +

A study on feature extraction and application for ship radiated noise’s generalized multiscale mathematical morphology feature

GUO Zheng1,2，ZHAO Mei1，HU Changqing1，NI Junshuai1,2

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文章历史 +

摘要

为稳定提取复杂水声环境下舰船辐射噪声的有效特征，在数学形态学方法的基础上提出一种广义多尺度数学形态腐蚀谱熵(generalized multiscale pattern erosion spectrum entropy ，GMPESE)的舰船辐射噪声非线性特征提取方法。通过对千岛湖及东海实测舰船辐射噪声处理，验证了不同环境下该特征提取方法的可行性，分析了相关参数选取对特征区分度的影响，并比较了该特征提取方法与多尺度熵（multiscale sample entropy ，MSE）特征的识别性能。数据处理结果表明，综合比较运算耗时、提取稳定的特征所需信号时长及复杂环境下目标识别准确率，GMPESE特征提取方法具有更大优势。

Abstract

In order to extract effective features of ship radiated noise in a complex underwater acoustic environment stably, a nonlinear ship radiated noise feature extraction method named generalized multiscale pattern erosion spectrum entropy (GMPESE) was proposed based on mathematical morphology. With processing the ship radiated noise of Qiandao Lake and East China Sea, GMPESE method’s feasibility in different environments was verified, the influence of parameters’ selection on features’ discrimination was analyzed, the recognition performances of GMPESE method and multiscale sample entropy (MSE) method were also compared. Considering time-consuming, the signal duration required to extract stable features and the accuracy of target ship recognition in complex environments, the data processing results show that GMPESE feature extraction method performs better.

导出引用

郭政1,2，赵梅1，胡长青1，倪俊帅1,2. 舰船辐射噪声广义多尺度数学形态学特征提取与应用研究[J]. 振动与冲击, 2022, 41(4): 21-28

GUO Zheng1,2，ZHAO Mei1，HU Changqing1，NI Junshuai1,2. A study on feature extraction and application for ship radiated noise’s generalized multiscale mathematical morphology feature[J]. Journal of Vibration and Shock, 2022, 41(4): 21-28

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