辐射源指纹特征提取方法述评  

Overview of Radio Frequency Fingerprint Extraction in Specific Emitter Identification

作　　者：孙丽婷 黄知涛[1] 王翔 王丰华[1] 李保国[1] SUN Liting;HUANG Zhitao;WANG Xiang;WANG Fenghua;LI Baoguo(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China)

机构地区：[1]国防科技大学电子科学学院,长沙410073

出　　处：《雷达学报（中英文）》2020年第6期1014-1031,共18页Journal of Radars

基　　金：湖南省创新群体研究项目(2019JJ10004)。

摘　　要：辐射源个体识别是一种仅通过信号的外部特征测量手段,提取辐射源指纹特征,从而识别发射给定信号的特定辐射源个体的技术。近年来,辐射源个体识别技术相关理论与实践应用不断完善,指纹特征提取方法的研究取得了较大的进展。该文在分析国内外大量学术研究成果的基础上,从指纹特征的内在逻辑出发提出了一种新的特征框架。该框架根据不同特征对辐射源指纹的描述特性以及相互之间的关联,将指纹特征划分为直接测量特征和降维变换特征两大类共3个层次,并系统性地梳理了辐射源指纹特征提取方法的研究现状。最后,该文对辐射源指纹特征提取的几个潜在研究方向进行了分析和展望,希望对辐射源个体识别的研究和应用有所裨益。Specific emitter identification is a technique of extracting the radio frequency fingerprints of the received electromagnetic signal only using external feature measurements to determine the specific emitter that transmits the signal.In recent years,the related theories and practical applications of specific emitter identification have been continuously improved,and research on radio frequency fingerprinting feature extraction methods has made great progress.Based on the domestic and foreign academic achievements,this paper systematically reviews the status quo of the fingerprint feature extraction method of specific emitter identification.In addition,a new feature classification framework is proposed based on the inherent logic of fingerprint feature extraction.The classification framework combines the description characteristics of different radio frequency fingerprinting features and the correlation between them.It divides the existing radio frequency features into two main categories:direct measurement features and dimensionality reduction transform features,which have three levels.Finally,this paper analyzes and explores several potential research directions of fingerprint feature extraction,aiming to benefit the research and application of specific radiation source identification.

关 键 词：辐射源个体识别 指纹特征提取 模式识别 信号处理 特征框架 

分 类 号：TN97[电子电信—信号与信息处理]