Radio Frequency Fingerprinting Exploiting Non-Linear Memory Effect

Radio frequency fingerprint (RFF) identification distinguishes wireless transmitters by exploiting their hardware imperfection that is inherent in typical radio (RF) front ends. This can reduce the risks for identities of legitimate devices being copied, or forged, which also occur conventional software-based systems. paper analyzes feasibility device unique non-linear memory effect transmitter RF chains consisting matched pulse shaping filters and power amplifiers (PAs). feature be extracted from received distorted constellation diagrams (CDs) with help image recognition-based classification algorithms. In order to validate performance proposed RFF approach, experiments are carried out cabled over air (OTA) scenarios. experiment, average accuracy among systems 8 PAs (4 same model other 4 different models) around 92% at signal noise ratio (SNR) 10 dB. For OTA line-of-sight (LOS) scenario, 90% SNR dB; non-line-of-sight (NLOS) 79% 12