The Use of SNN for Ultralow-Power RF Fingerprinting Identification With Attention Mechanisms in VDES-SAT-Reference-Cited by-同舟云学术

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The Use of SNN for Ultralow-Power RF Fingerprinting Identification With Attention Mechanisms in VDES-SAT

Published:2023-09-01 Issue:17 Volume:10 Page:15594-15603
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Jiang Qi¹^ORCID,Sha Jin¹^ORCID

Affiliation:

1. School of Electronic Science and Engineering, Nanjing University, Nanjing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6488907/10227658/10092836.pdf?arnumber=10092836

Reference41 articles.

1. A Review of Radio Frequency Fingerprinting Techniques

2. Performance Comparison of Multi-layer Perceptron (Back Propagation, Delta Rule and Perceptron) algorithms in Neural Networks

3. Improving ZigBee Device Network Authentication Using Ensemble Decision Tree Classifiers With Radio Frequency Distinct Native Attribute Fingerprinting

4. A Practical Algorithm for Solving Dynamic Membrane Equations

5. Specific Emitter Identification via Hilbert–Huang Transform in Single-Hop and Relaying Scenarios

Cited by 7 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. Energy-Efficient Distributed Spiking Neural Network for Wireless Edge Intelligence;IEEE Transactions on Wireless Communications;2024-09

2. Toward Intelligent Lightweight and Efficient UAV Identification With RF Fingerprinting;IEEE Internet of Things Journal;2024-08-01

3. Spiking Neural Network-based Demodulation Scheme for Optoacoustic Communications;ICC 2024 - IEEE International Conference on Communications;2024-06-09

4. Application of SNNS Model Based On Multi-Dimensional Attention In Drone Radio Frequency Signal Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. An efficient intrusion detection model based on convolutional spiking neural network;Scientific Reports;2024-03-25

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