A 73 KB quantized Transformer model identifies 28 WiFi transmitters with about 98% accuracy on a Raspberry Pi and keeps that accuracy when I/Q sample order is shuffled, while a CNN drops to near random.
A secure and private authentication based on radio frequency fingerprinting,
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Edge AI-based Radio Frequency Fingerprinting for IoT Networks
A 73 KB quantized Transformer model identifies 28 WiFi transmitters with about 98% accuracy on a Raspberry Pi and keeps that accuracy when I/Q sample order is shuffled, while a CNN drops to near random.