Browsing by Author "Aghnaiya, Alghannai"
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Item VARIATIONAL MODE DECOMPOSITION BASED RADIO FREQUENCY FINGERPRINTING OF BLUETOOTH DEVICES(2022-01-26) Aghnaiya, Alghannai; Kara, AliIn this thesis, we evaluated the performance of RF fingerprinting method based on variational mode decomposition (VMD). Radio frequency fingerprinting (RFF) is based on identification of unique features of RF transient signals emitted by radio devices. RF transient signals of radio devices are short in duration, non-stationary and nonlinear time series. For this purpose, VMD is used to decompose Bluetooth (BT) transient signals into a series of band-limited modes, and then, the transient signal is reconstructed from the modes. Higher order statistical (HOS) features are extracted from the complex form of VMD-reconstructed transients and VMD-modes. Then, Linear Support Vector Machine (LVM) classifier is used to identify BT devices. The method has been tested experimentally with BT devices of different brands, models and series. The classification performance shows that VMD reconstructed transients method achieves better performance (at least 8% higher) than time-frequency-energy (TFED) distribution based methods such as Hilbert Huang Transform. This is demonstrated with the same dataset but with smaller number of features (nine features) and slightly lowers (2-3 dB) SNR levels. For the same dataset the classification performance demonstrates that VMD-modes method achieves better performance (4% higher) than VMD-reconstructed transient method.