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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Bibliographic Details
Main Authors: Hanqing Gu, Lisheng Su, Yuxia Wang, Weifeng Zhang, Chuan Ran
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Channel attention
deep convolutional neural networks
RF fingerprinting
temporal attention
Online Access:https://ieeexplore.ieee.org/document/10423213/

Internet

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

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