Adaptive RF Fingerprints Fusion via Dual Attention Convolutions

Author:

Zhang Weifeng1ORCID,Zhao Wenhong2,Tan Xiaoheng1,Shao Liudong3,Ran Chuan4

Affiliation:

1. School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China

2. School of Information Engineering, Jiaxing Nanhu University, Zhejiang, China

3. Software Development Department, Ningbo Sanxing Medical and Electric Company Ltd., Ningbo, China

4. Software Development Department, IBM Corporation, Morrisville, NC, USA

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MRFE: A Deep-Learning-Based Multidimensional Radio Frequency Fingerprinting Enhancement Approach for IoT Device Identification;IEEE Internet of Things Journal;2024-09-15

2. A RSBU-LSTM network for radio frequency fingerprint identification relying on multiple features;EURASIP Journal on Advances in Signal Processing;2024-06-28

3. Random Matrix Theory Based Radio Frequency Fingerprinting Identification of WiFi Signal;2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2024-06-19

4. Research on LED fingerprint identification method based on convolutional neural network;Advanced Fiber Laser Conference (AFL2023);2024-03-18

5. Efficient Channel-Temporal Attention for Boosting RF Fingerprinting;IEEE Open Journal of Signal Processing;2024

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