采用Hilbert谱相关性的特定辐射源识别技术  

Hilbert Spectrum Based Algorithm Employing Correlation Coefficient for Specific Emitter Identification

作　　者：张静文[1] 王方刚[1] 钟章队[1] 

机构地区：[1]北京交通大学轨道交通与安全国家重点实验室,北京100044

出　　处：《北京邮电大学学报》2015年第B06期49-52,57,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：中央高校基本科研业务费项目(2015JBM112;2014YJS002)

摘　　要：在点对点场景下,提出了一种基于Hilbert谱的特定辐射源识别(SEI)算法.该算法采用Hilbert谱相关性作为识别特征对辐射源进行分类.进而研究中继场景中的识别问题,在此场景下,源辐射源的指纹特征将叠加中继的指纹特征,所提算法有效地推广至该场景并论证.此外,还验证了算法在非高斯噪声、衰落等非理想信道条件下的识别性能.仿真结果表明:该算法在点对点和中继场景下均具有良好的识别性能,在非理想的信道条件下具有较好的健壮性.A Hilbert spectrum-based approach to specific emitter identification （SEI）was proposed in sin- gle-hop and relaying scenarios. The correlation coefficient measuring the similarity between Hilbert spec- trums was employed as the identification feature. An identification problem was also in-depth explored for a relaying scenario, in which the fingerprint of different emitters can be impaired by the relay＇ s finger- prints under non-ideal conditions, such as non-Gaussian noise and flat-fading channels. Extensive simu- lation demonstrates that the proposed approach can achieve a good identification performance in both sin- gle-hop and relaying scenarios, and shows robust against non-ideal channel conditions as well.

关 键 词：特定辐射源识别 Hilbert—Huang变换 中继通信 

分 类 号：TN911.22[电子电信—通信与信息系统]