Efficient Channel-Temporal Attention for Boosting RF Fingerprinting

Efficient Channel-Temporal Attention for Boosting RF Fingerprinting

In recent years, Deep Convolutional Neural Networks (DCNNs) have been widely used to solve Radio Frequency (RF) fingerprinting task. DCNNs are capable of learning the proper convolution kernels driven by data and directly extracting RF fingerprints from raw In-phase/Quadratur (IQ) data which are bro...

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Príomhchruthaitheoirí: Hanqing Gu, Lisheng Su, Yuxia Wang, Weifeng Zhang, Chuan Ran
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: IEEE 2024-01-01
Sraith:IEEE Open Journal of Signal Processing
Ábhair:
Channel attention
deep convolutional neural networks
RF fingerprinting
temporal attention
Rochtain ar líne:https://ieeexplore.ieee.org/document/10423213/

Ar líne

https://ieeexplore.ieee.org/document/10423213/

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