NDLI: Classification performance using 'RF-DNA' fingerprinting of ultra-wideband noise waveforms

Content Provider	IET Digital Library
Author	Lukacs, M. Collins, P. Temple, M.
Abstract	Device classification is important in many applications such as industrial quality control, through-wall imaging and network security. A novel approach has been proposed to use a digital noise radar (DNR) to actively interrogate microwave devices and classify defective units using ‘radio frequency distinct native attribute (RF-DNA)’ fingerprinting and various classifier algorithms. RF-DNA has previously demonstrated ‘serial number’ discrimination of numerous passive radio frequency signals, achieving classification accuracies above 80% using multiple discriminant analysis/maximum likelihood (MDA/ML) and generalised relevance learning vector quantisation-improved (GRLVQI) classifiers. It has also demonstrated above 80% classification of limited active interrogation responses with a DNR signal using these classifiers. The performance capabilities of the two different classifiers, MDA/ML and GRLVQI, on RF-DNA fingerprints produced from the ultra-wideband noise radar correlation response is expanded.
Starting Page	787
Ending Page	789
Page Count	3
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 10, May (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.0051
Journal	Electronics Letters
Publisher Date	2015-05-01
Access Restriction	Open
Rights Holder	© U.S. Government
Subject Keyword	Classification Accuracy Defective Unit Classification Device Classification Performance Digital Noise Radar DNR DNR Signal Generalised Relevance Learning Vector Quantisation-improved Classifier GRLVQI Classifier Industrial Quality Control Limited Active Interrogation Response Maximum Likelihood Estimation MDA/ML Classifier Microwave Device Multiple Discriminant Analysis-maximum Likelihood Classifier Network Security Passive Radio Frequency Signal Radar Equipment Radar Signal Processing Radio Frequency Distinct Native Attribute Fingerprinting RF-DNA Fingerprinting Serial Number Discrimination Signal Classification Signal Processing And Detection Statistics System And Application Through-wall Imaging Ultrawideband Noise Radar Correlation Response Ultrawideband Noise Waveform UWB Noise Radar Correlation Response Vector Quantisation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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