Calibrated confidence thresholds enable RF-fingerprinting to work reliably under co-channel interference, with mathematical guarantees on missing detections—critical for spectrum monitoring in crowded wireless environments.
This paper tackles RF-fingerprinting—identifying specific transmitters by their hardware signatures—in realistic scenarios where multiple devices transmit simultaneously and interfere with each other. The authors use a CNN with calibration techniques to ensure reliable detection while controlling false negatives, validated on real 5G testbed data with Wi-Fi, LTE, and 5G signals.