基于小波域和BP分类器的舰船目标的分类研究  

The Classification of the Ship Target Based on the Wavelet Domain and BP Classifier

作　　者：潘琳[1] 张效民[1] 刘义海[1] 

机构地区：[1]西北工业大学航海学院

出　　处：《电声技术》2012年第8期54-57,共4页Audio Engineering

摘　　要：利用小波变换处理水下舰船的辐射噪声,提取舰船辐射噪声的小波子带能量,作为目标特征,结合BP神经网络分类器,实现目标分类。通过大量的实验仿真验证,使用小波子带能量作为目标的特征,将BP神经网络作为分类器识别目标的分类方法是有效的,具有良好的工程应用前景。The wavelet sub-band energy, as the target feature, is extracted from ship radiation noise by wavelet transforma- tion. Combined with BP neural network classifier to realize target identification. Through a large number of experimental sim- ulation test. h is effective to use wavelet sub-band energy as a target features and regard the BP neural network classifier rec- ognition as a target classification, and this method has good engineering application prospects.

关 键 词：小波变换 特征提取 BP神经网络 

分 类 号：TB56[交通运输工程—水声工程]