| 基于自相关特征的舰船大小识别方法 |
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| 引用本文： | 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. |
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| 作者姓名： | 王魁 张效民 赵延安 李丹 |
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| 作者单位： | 西北工业大学航海学院; |
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| 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。
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| 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 |
| 收稿时间： | 2010/9/16 0:00:00 |
| 修稿时间： | 2010/11/26 0:00:00 |
A method of ship size recognition based on autocorrelation features |
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| WANG Kui,ZHANG Xiao-min,ZHAO Yan-an and LI Dan.A method of ship size recognition based on autocorrelation features[J].Technical Acoustics,2011(5):463-465. |
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| Authors: | WANG Kui ZHANG Xiao-min ZHAO Yan-an and LI Dan |
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| Affiliation: | WANG Kui,ZHANG Xiao-min,ZHAO Yan-an,LI Dan(College of marine,Northwestern Polytechnical University,Xi'an 710072,China) |
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| Abstract: | 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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| Keywords: | autocorrelation feature ship size recognition ship radiated noise backpropagation neural network |
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