Deep Learning-based RF Fingerprint Authentication with Chaotic Antenna Arrays. (arXiv:2303.07466v1 [eess.SP])

Radio frequency (RF) fingerprinting is a tool which allows for authentication
by utilizing distinct and random distortions in a received signal based on
characteristics of the transmitter. We introduce a deep learning-based
authentication method for a novel RF fingerprinting system called Physically
Unclonable Wireless Systems (PUWS). An element of PUWS is based on the concept
of Chaotic Antenna Arrays (CAAs) that can be cost effectively manufactured by
utilizing mask-free laser-enhanced direct print additive manufacturing
(LE-DPAM). In our experiments, using simulation …

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