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典型文献
Unintentional modulation microstructure enlargement
文献摘要:
Radio frequency fingerprinting (RFF) is a technology that identifies the specific emitter of a received electromagnetic signal by external measurement of the minuscule hardware-level, device-specific imperfections. The RFF-related information is mainly in the form of unintentional modulation (UIM), which is subtle enough to be effectively imperceptible and is submerged in the intentional modulation (IM). It is necessary to minimize the influence of the IM and expand the slight differences between emitters for successful RFF. This paper proposes a UIM microstructure enlargement (UMME) method based on feature-level adaptive signal decomposition (ASD), accompanied by autocorrelation and cross-correlation analysis. The common IM part is evaluated by analyzing a newly-defined benchmark fea-ture. Three different indexes are used to quantify the similarity, distance, and dependency of the RFF features from different devices. Experiments are conducted based on the real-world signals transmitted from 20 of the same type of radar in the same working mode. The visual image qualitatively shows the magnification of feature differences; different indicators quantita-tively describe the changes in features. Compared with the original RFF feature, recognition results based on the Gaussian mixture model (GMM) classifier further validate the effectiveness of the proposed algorithm.
文献关键词:
作者姓名:
SUN Liting;WANG Xiang;HUANG Zhitao
作者机构:
Department of Electronic Science,National University of Defense Technology,Changsha 410073,China
引用格式:
[1]SUN Liting;WANG Xiang;HUANG Zhitao-.Unintentional modulation microstructure enlargement)[J].系统工程与电子技术(英文版),2022(03):522-533
A类:
Unintentional,minuscule,UMME
B类:
modulation,microstructure,enlargement,Radio,frequency,fingerprinting,RFF,technology,that,identifies,specific,received,electromagnetic,by,external,measurement,hardware,level,imperfections,related,information,mainly,unintentional,UIM,which,subtle,enough,effectively,imperceptible,submerged,It,necessary,minimize,influence,expand,slight,differences,between,emitters,successful,This,paper,proposes,method,adaptive,decomposition,ASD,accompanied,autocorrelation,cross,analysis,common,part,evaluated,analyzing,newly,defined,benchmark,Three,different,indexes,used,quantify,similarity,distance,dependency,features,from,devices,Experiments,conducted,real,world,signals,transmitted,same,type,radar,working,visual,image,qualitatively,shows,magnification,indicators,quantita,describe,changes,Compared,original,recognition,results,Gaussian,mixture,model,GMM,classifier,further,validate,effectiveness,proposed,algorithm
AB值:
0.582828
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