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基于围线积分双谱的雷达辐射源信号个体特征提取
引用本文:陈韬伟,金炜东,李 杰.基于围线积分双谱的雷达辐射源信号个体特征提取[J].计算机工程与应用,2013,49(8):209-212.
作者姓名:陈韬伟  金炜东  李 杰
作者单位:1.云南财经大学 信息学院,昆明 650221 2.西南交通大学 电气工程学院,成都 610031
摘    要:雷达辐射源信号因无法避免的振荡器相位噪声影响而具有无意调制个体特征现象。特定辐射源识别(SEI)技术研究立足于从截获的辐射源信号中提取细微且稳健的特征,这些特征是由特定辐射源个体所决定的指纹信息。采用围线积分双谱提取由振荡器相位噪声所造成的无意调制个体特征,并将围线积分双谱的均值、波形熵和双谱熵作为量化特征衡量不同雷达辐射源之间的个体差异。仿真实验表明,提取的量化特征在一定的信噪比环境下较好地体现辐射源之间的个体差异性,并且能够实现辐射源个体识别。

关 键 词:振荡器相位噪声  无意调制  特定辐射源识别  围线积分双谱  

Individual feature extraction from radar emitter signals based on surrounding-line integral bispectrum
CHEN Taowei,JIN Weidong,LI Jie.Individual feature extraction from radar emitter signals based on surrounding-line integral bispectrum[J].Computer Engineering and Applications,2013,49(8):209-212.
Authors:CHEN Taowei  JIN Weidong  LI Jie
Affiliation:1.College of Information, Yunnan University of Finance and Economics, Kunming 650221, China 2.School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Abstract:Radar emitter signals have their individual feature due to inevitable oscillator phase noise. Specific Emitter Identification(SEI) technology extracts subtle and persistent features from intercepted emitter signals. These features are fingerprint information created by specific radar. An approach based on surrounding-line integrated bispectrum is proposed to extract unintentional phase modulation features caused by oscillator. The quantitative features, i.e.bispectra entropy, mean and waveform entropy of surrounding-line integrated bispectrum, are further extracted from bispectrum to reveal the individual difference between emitters. Computer simulation results show that the quantitative features can classify emitters by using individual difference under moderate SNR circumstance.
Keywords:oscillator phase noise  unintentional modulation  special emitter identification  surrounding-line integrated bispectrum  
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