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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lukacs, M.W. Zeqolari, A.J. Collins, P.J. Temple, M.A. |
| Copyright Year | 2002 |
| Abstract | Device classification is important for many applications such as industrial quality controls, through-wall imaging, and network security. A novel approach to detection is proposed using a random noise radar (RNR), coupled with Radio Frequency “Distinct Native Attribute (RF-DNA)” fingerprinting processing algorithms to non-destructively interrogate microwave devices. RF-DNA has previously demonstrated “serial number” discrimination of passive Radio Frequency (RF) emissions such as Orthogonal Frequency Division Multiplexed (OFDM) signals, Worldwide Interoperability for Microwave Access (WiMAX) signals and others with classification accuracies above 80% using a Multiple Discriminant Analysis/Maximum Likelihood (MDAML) classifier. This approach proposes to couple the classification successes of the RF-DNA fingerprint processing with a non-destructive active interrogation waveform. An Ultra Wideband (UWB) noise waveform is uniquely suitable as an active interrogation method since it will not cause damage to sensitive microwave components and multiple RNRs can operate simultaneously in close proximity, allowing for significant parallelization of detection systems. |
| Sponsorship | IEEE Antennas and Propagation Society |
| Starting Page | 1455 |
| Ending Page | 1458 |
| Page Count | 4 |
| File Size | 666031 |
| File Format | |
| ISSN | 15361225 |
| Volume Number | 14 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise Radar imaging Loaded antennas Radar antennas Antenna measurements ultra wideband radar classification algorithms noise measurement radar signal processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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