A Partially Stacking-based Convolutional Denoising AutoEncoder (PSC-DAE) reconstructs high-SNR signals from low-SNR inputs and identifies devices, improving accuracy 14-23.5% over CNN at SNRs from -10 dB to 5 dB.
Deep learning based transmitter identi- fication using power amplifier nonlinearity,
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Radio Frequency Fingerprint Identification Based on Denoising Autoencoders
A Partially Stacking-based Convolutional Denoising AutoEncoder (PSC-DAE) reconstructs high-SNR signals from low-SNR inputs and identifies devices, improving accuracy 14-23.5% over CNN at SNRs from -10 dB to 5 dB.