| 基于小波脊频级联特征的雷达辐射源信号识别 |
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| 引用本文： | 余志斌,金炜东,陈春霞.基于小波脊频级联特征的雷达辐射源信号识别[J].西南交通大学学报,2010,45(2). |
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| 作者姓名： | 余志斌 金炜东 陈春霞 |
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| 作者单位： | 1. 西南交通大学电气工程学院,四川成都,610031
2. 成都电子机械高等专科学校机械工程系,四川成都,610031 |
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| 摘 要： | 为识别复杂体制雷达辐射源信号,提出了一种基于小波脊频级联特征提取的信号识别方法.该方法采用新的小波原子和脊线检测策略提取信号的脊频特征,并提取其级联特征作为信号识别向量.仿真结果表明,采用级联特征能有效地识别辐射源信号,当信噪比为5 dB时,识别率达95%以上.与传统小波和现有方法相比,所提出的方法具有更好的信号识别效果.
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| 关 键 词： | 小波脊 瞬时频率 辐射源信号识别 小波原子 |
Radar Emitter Signal Recognition Based on WRFCCF |
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| YU Zhibin,JIN Weidong,CHEN Chunxia.Radar Emitter Signal Recognition Based on WRFCCF[J].Journal of Southwest Jiaotong University,2010,45(2). |
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| Authors: | YU Zhibin JIN Weidong CHEN Chunxia |
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| Institution: | YU Zhibin1,JIN Weidong1,CHEN Chunxia2(1.School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China,2.Mechanical Engineering Department,Chengdu Electromechanical College,China) |
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| Abstract: | In order to identify the advanced radar emitter signals(RES),an automatic recognition approach of signals was proposed.This approach is based on the cascade-feature of the wavelet ridge-frequency(WRF).The new wavelet atom and the detection strategy are used to extract the WRF feature of the RES,and the wavelet ridge-frequency cascade-feature(WRFCCF) is extracted to identify the RES.Simulation results show that the proposed approach can achieve a correct rate of above 95% even when the SNR(signal-to-noise ra... |
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| Keywords: | wavelet ridge instantaneous frequency emitter signal recognition wavelet atom |
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