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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xu Jin-yong Zhao Hang-sheng Liang Tao |
| Copyright Year | 2010 |
| Description | Author affiliation: The 63rd Research Institute of PLA General Staff, Jiangsu Province Nanjing 210007, China (Xu Jin-yong; Zhao Hang-sheng; Liang Tao) |
| Abstract | It is important but difficult to analyze transient signal of Radio Frequency Fingerprinting (RFF), especially to extract the features of RFF signal. Method of analyzing transient signal based on Empirical Mode Decompositions (EMD) is introduced in this paper. EMD can dynamically achieve signal's Time-Frequency Distribution (TFD) and amplify the feature's difference between RFF's transient signals from different radio transmitters. EMD is efficient to process transient signal and can extract efficient features in RFF system. The results of simulation show that EMD method has the advantages that signal processing speed of EMD is fast and can achieve very high correct rate of recognizing to transmitter. |
| Starting Page | 1275 |
| Ending Page | 1278 |
| File Size | 109174 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424457052 |
| e-ISBN | 9781424457083 |
| DOI | 10.1109/ICMMT.2010.5524958 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radio frequency Fingerprint recognition Transient analysis Feature extraction Radio transmitters Signal detection Signal analysis Time frequency analysis Data mining Signal processing Intrinsic Mode Function Transient signal Empirical Mode Decompositions |
| Content Type | Text |
| Resource Type | Article |
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