系统工程与电子技术 ›› 2019, Vol. 41 ›› Issue (4): 724-729.doi: 10.3969/j.issn.1001-506X.2019.04.04

• 电子技术 • 上一篇    下一篇

基于联合协作表示的特定辐射源识别

周志文1, 黄高明2, 王雪宝2, 满欣2   

  1. 1. 武警指挥学院作战指挥系, 天津 300250; 2. 海军工程大学电子工程学院, 湖北 武汉 430033
  • 出版日期:2019-03-20 发布日期:2019-03-20

Specific emitter identification based on joint collaborative represenation

ZHOU Zhiwen1, HUANG Gaoming2, WANG Xuebao2, MAN Xin2#br#

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  1. 1. Department of Operational Command, Command College of the PAP, Tianjin 300250, China;
    2. College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China
  • Online:2019-03-20 Published:2019-03-20

摘要:

针对存在脉冲无意调制特征时的特定辐射源识别问题,在时域对个体辐射源建模,并分析了无意特征在特征空间形成的分量对个体识别的作用。首先在时频域提取了奇异值作为特征描述,接着建立了联合协作表示模型并引入Tikhonov矩阵约束增加类间区分度,提取了特有分量表示系数,最后依据最小分类残差实现有监督的特定辨识。仿真中利用具有脉内无意调制的3种辐射源进行分析,实验结果表明提出的方法能有效识别无意幅度和相位调制特征,且在信噪比为10 dB时能达到80%以上的正确识别率,具有泛化建模意义。

Abstract:

Aimed at the specific emitter identification problem in existence of unintentional modulation on pulse, the specific emitter model is established on timedomain and the effect of the innovation component in feature space to individual identification is hence analyzed. First, singular values in the timefrequency domain are extracted to represent features. Then, a joint collaborative representation model is constructed and the Tikhonov matrix is introduced to enhance betweenclass discrimination. Representation coefficients of the unique component are acquired. Finally, the supervised specific identification is executed according to the lowest classification residual. Three types of emitters with unintentional modulation on pulse are adopted in simulations. Experimental results show that the proposed method can effectively identify unintentional amplitude and phase modulation features, and the accuracy can be over 80% when the signaltonoise ratio is 10 dB, which is of significance in generalization modeling.