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Dec 1, 2023 · The signal representation module is jointly trained with the CNN classifier using a single identification loss, transforming the input radio ...
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Jun 7, 2021 · This paper designs a deep learning-based RFFI scheme for Long Range (LoRa) systems. ... Secondly, three signal representations for deep learning- ...
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Abstract—Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices at the physical layer.
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Experimental results show that the RF fingerprint identification accuracy of the proposed scheme with learnable signal representation is significantly improved ...
This work designed an RFFI scheme for Long Range (LoRa) systems based on spectrogram and convolutional neural network, which uses spectrogram to represent ...
We propose an RFF extraction scheme that leverages Fourier-based synchrosqueezing transform (FSST) and supervised contrastive learning (SCL) to generate more ...
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Article "A Radio Frequency Fingerprinting Scheme Using Learnable Signal Representation" Detailed information of the J-GLOBAL is an information service ...
In this article, we demonstrate how machine learning techniques impact RF fin- gerprinting by analyzing a dataset of 400 GB of in-phase (I) and quadrature (Q) ...
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Incremental Learning Based Radio Frequency Fingerprint ...
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A Radio Frequency Fingerprinting Scheme Using Learnable Signal Representation · Computer Science, Engineering. IEEE Communications Letters · 2024.
Radio frequency fingerprint (RFF) identification is an emerging physical layer authentication technique which can be used to detect spoofing and distributed ...