| 基于小波互信息的辐射源脉冲分类 |
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| 引用本文： | 胡建伟,杨绍全.基于小波互信息的辐射源脉冲分类[J].系统工程与电子技术,2005,27(11):1895-1898. |
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| 作者姓名： | 胡建伟 杨绍全 |
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| 作者单位： | 西安电子科技大学电子工程学院,陕西,西安,710071 |
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| 摘 要： | 针对电子支援系统中实时识别截获的雷达信号类型,提出了一种基于小波互信息准则的辐射源脉冲分类方法。该方法首先对辐射源脉冲信号进行小波变换,获得不同尺度、不同时移下时频面的小波特征集,然后利用Parzen窗密度估计方法对小波特征集的小波系数估计出其概率密度函数,从而计算出已知脉冲类和所有脉冲实现之间的互信息,用单个脉冲即可实现不同辐射源的脉冲分类。计算机仿真结果表明了方法的有效性。
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| 关 键 词： | 脉冲分类 互信息 小波变换 概率密度估计 |
| 文章编号： | 1001-506X(2005)11-1895-04 |
| 修稿时间： | 2004年10月11 |
Emitter pulse classification based on wavelet mutual information |
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| HU Jian-wei,YANG Shao-quan.Emitter pulse classification based on wavelet mutual information[J].System Engineering and Electronics,2005,27(11):1895-1898. |
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| Authors: | HU Jian-wei YANG Shao-quan |
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| Abstract: | A critical function of radar electronic support is the real-time identification of the radar type associated with each pulse train that is intercepted.A new method to classify the emitter pulse is presented.Firstly,a large set of features are generated from dilations and shiftings of a family of one or more mother wavelet functions.Then the measure of mutual information between the pulse category and feature vector element values over all pulse realizations is obtained based on Parzen window density estimation.The mutual information can be used to discriminate one category from another.Finally,simulation results prove the efficacy of the method. |
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| Keywords: | pulse classification mutual information wavelet transform density estimation |
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