基于频谱不对称性的雷达辐射源个体识别  

Specific emitter identification based on spectrum asymmetry

作　　者：刘鲁涛[1,2] 安赛龙 Liu Lutao;An Sailong(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,Heilongjiang,China;Key Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology,Harbin Engineering University,Harbin 150001,Heilongjiang,China)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001 [2]哈尔滨工程大学先进船舶通信与信息技术工业和信息化部重点实验室,黑龙江哈尔滨150001

出　　处：《航天电子对抗》2021年第5期7-12,共6页Aerospace Electronic Warfare

基　　金：国家自然科学基金(62071137);中央高校基本科研业务费专项资金资助(3072021CF0816)。

摘　　要：针对低信噪比下雷达辐射源个体识别率低的问题,提出基于频谱不对称性的雷达辐射源个体识别方法。辐射源产生的信号会受到相位噪声的影响,造成频谱的不对称,通过对频谱的不对称性进行评估来进行个体识别。首先通过分数阶傅里叶变换算法来估计中心频率,然后以中心频率为中心,把频谱分为左右2个频谱,把左右频谱的能量差、欧式距离和相关系数作为特征送入到支持向量机中进行识别。并通过实测数据进行仿真验证,结果表明,该算法在不同信噪比下都有较高的识别率,尤其是在低信噪比下,在信噪比为-5 dB时正确识别率仍可达到90%。Aiming at the problem of low individual recognition rate of radar emitter under low signal-to-noise ratio,a specific emitter identification method based on spectrum asymmetry is proposed.The signal generated by the radiation source will be affected by the phase noise,resulting in the asymmetry of the spectrum.The individual identification is carried out by evaluating the spectrum asymmetry.Firstly,the fractional Fourier transform algorithm is used to estimate the center frequency.Then,taking the center frequency as the center,the spectrum is divided into left and right spectrum.The energy difference,Euclidean distance and correlation distance of the left and right spectrum are sent to the support vector machine for recognition.The simulation results show that the algorithm has high recognition rate under different signal-to-noise ratio,especially at low signal-to-noise ratio,and the correct recognition rate can still reach 90%when the signal-to-noise ratio is-5 dB.

关 键 词：辐射源个体识别 频谱不对称性 无意调制 分数阶傅里叶变换 

分 类 号：TN971.1[电子电信—信号与信息处理] TN974[电子电信—信息与通信工程]