文章摘要
王魁,张效民,赵延安,李丹.基于自相关特征的舰船大小识别方法[J].声学技术,2011,(5):463~465
基于自相关特征的舰船大小识别方法
A method of ship size recognition based on autocorrelation features
投稿时间:2010-09-16  修订日期:2010-11-26
DOI:
中文关键词: 自相关特征  舰船大小识别  舰船辐射噪声  BP神经网络
英文关键词: autocorrelation feature  ship size recognition  ship radiated noise  backpropagation neural network
基金项目:
作者单位E-mail
王魁  hnnzwk@163.com 
张效民   
赵延安   
李丹   
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中文摘要:
      基于自相关处理方法,提出了一种利用舰船辐射噪声自相关曲线特征值对舰船大小进行识别的方法,并利用BP神经网络对两类海上实测舰船目标噪声信号进行了识别。实验结果表明,利用该方法对舰船目标大小具有较好的识别效果。该法与其他识别方法相比,在保证较高分类识别率的前提下,特征量提取方法简单,特征量维数少,运算量较低,更便于工程实现。
英文摘要:
      A method of ship size recognition based on autocorrelation features is proposed in this paper.The recognition experiment for two different classes of ship targets in the sea is performed with backpropagation neural network,and the results of experiment show that this method has higher correct recognition rate for the size of ship target.
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