利用小波包分析和混沌特征提取进行船舶辐射噪声分类  

Classification of Ship Radiated Noise Based on Wavelet and Chaos Features

作　　者：赵犁丰[1] 宋洁[1] 姚玉玲[1] 杨军波[1] 

机构地区：[1]中国海洋大学电子工程系,山东青岛266071

出　　处：《中国海洋大学学报（自然科学版）》2004年第6期1036-1040,共5页Periodical of Ocean University of China

摘　　要：基于船舶辐射噪声信号具有非线性、非平稳的特征 ,提出采用提取船舶辐射噪声信号的非线性混沌特征量和多尺度小波能量特征 ,并将两者综合作为特征参数输入神经网络分类器进行船舶分类识别。实验结果表明 ,该方法能较好地区分不同类型的船舶。In this paper, a method is presented to extract the nonlinear features and multi-scale wavelet packet energy spectra of ship radiated noise which is nonlinear and nonstationary. The nonlinear features and energy spectra are integrated as the inputs to the neutral network to class the different ship radiated noise signals. The results of the experiments show that the method can class different ships effectively.

关 键 词：船舶辐射噪声 混沌特征 小波包分析 信号分类 

分 类 号：TB5332[理学—物理] TN911.7[理学—声学]