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Author

Elisée Toé

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Open access Aug 2026

Enhancing Channel Robustness in LoRa Radio Frequency Fingerprinting through a Physics-Informed Residual Spectrogram †

Radio Frequency Fingerprinting Identification (RFFI) is a lightweight authentication method at the physical layer for LoRa IoT devices that avoids cryptographic overhead. However, current deep learning pipelines for RFFI face a robustness gap in that their identification accuracy can decline in time-varying multipath e...

Elisée Toé, Laurent Ferrier, Fehmi Jaafar · 0 citations

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