| 一种雷达辐射源信号分选新方法 |
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| 引用本文： | 何明浩,朱元清,冒燕,韩俊.一种雷达辐射源信号分选新方法[J].武汉理工大学学报(交通科学与工程版),2007,31(3):430-433. |
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| 作者姓名： | 何明浩 朱元清 冒燕 韩俊 |
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| 作者单位： | 1. 空军雷达学院训练部,武汉,430019
2. 空军雷达学院电子对抗系,武汉430019 |
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| 摘 要： | 提出一种基于小波与神经网络联合分析的雷达辐射源信号分选新方法.该方法首先对接收到的雷达信号进行小波去噪,达到提高信噪比的目的,然后利用小波脊线法准确提取其脉内特征参数,最后基于神经网络实现信号的分选.计算机仿真结果表明,较现有方法,该方法在较低的信噪比情况下,可以更准确地实现雷达辐射源信号的分选.
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| 关 键 词： | 小波去噪 脉内特征 神经网络 信号分选 |
| 修稿时间： | 2007-01-08 |
New Method for Sorting Radar Emitter Signal |
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| He Minghao,Zhu Yuanqing,Mao Yan,Han Jun.New Method for Sorting Radar Emitter Signal[J].journal of wuhan university of technology(transportation science&engineering),2007,31(3):430-433. |
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| Authors: | He Minghao Zhu Yuanqing Mao Yan Han Jun |
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| Institution: | Division of Training, AFAR, Wuha n 430019 ;Department of Electronic Countermeasures, AFAR , Wuhan 430019 |
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| Abstract: | A new method for sorting radar emitter signals is proposed in this paper.In order to improve Signal noise ratio(SNR),Wavelet Denoising is used,and the radar in-pulse characteristics is extracted by Wavelet-ridge,radar emitter signal sorting is realized by neural networks.By simulation,it shows that this method can realize precise sorting under low SNR,and it is better than other methods. |
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| Keywords: | wavelet denoising in pulse characteristics neural networks signal sorting |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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