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机构地区:[1]西北工业大学航海学院,西安710072 [2]西安邮电大学电子工程学院,西安710121
出 处:《振动与冲击》2015年第16期55-59,共5页Journal of Vibration and Shock
基 金:国家自然科学基金(51179157);陕西省教育厅专项科研计划项目(2012JK0493);西安邮电大学青年教师科研基金(ZL2013-20;ZL2013-21)
摘 要:利用集合经验模态分解方法研究舰船辐射噪声的特征参数提取及分类,对预处理后三种不同类别舰船辐射噪声进行能量分析,讨论其高低频能量差特征参数。计算不同类别、一定样本数量的舰船辐射噪声高低频能量差发现,同类舰船高低频能量差基本处于同一水平,不同类型舰船高低频能量差存在明显差异。结果表明,利用集合经验模态分解方法提取的舰船辐射噪声特征参数对舰船类别具有较好的可分性。可为水下目标信号探测及识别提供参考。The method of ensemble empirical mode decomposition has been developeu Ior nommear anu nun- stationary signal. The method can be applied to the feature extraction and classification of ship radiated noise. Three different types of ship radiated noises were chosen to perform the energy analysis. After pretreatment, the ship radiated noise was decomposed into several intrinsic mode functions by ensemble empirical mode decomposition, and the energy difference between the high and low frequency was extracted and analyzed. The results show that the energy difference between the high and low frequency is at the same level for similar ships, but there is obvious difference for different types of ships. Therefore, it is concluded that the energy difference between the high and low frequency can be used as a new feature of ship signals. It provides an alternative for detecting and recognizing underwater target signals.
关 键 词:集合经验模态分解 舰船辐射噪声 高低频能量差 特征提取
分 类 号:TN911.72[电子电信—通信与信息系统]
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