On the Use of Power Amplifier Nonlinearity Quotient to Improve Radio Frequency Fingerprint Identification in Time-Varying Channels-Reference-Cited by-同舟云学术

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On the Use of Power Amplifier Nonlinearity Quotient to Improve Radio Frequency Fingerprint Identification in Time-Varying Channels

Published:2023-09-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
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Author:

Yang Lu¹,Camtepe Seyit²,Gao Yansong²,Liu Vicky³,Jayalath Dhammika¹

Affiliation:

1. Queensland University of Technology,Faculty of Engineering,Brisbane,Australia

2. CSIRO,Data61,Sydney,Australia

3. Queensland University of Technology,Faculty of Science,Brisbane,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10293227/10293746/10293946.pdf?arnumber=10293946

Reference42 articles.

1. Specific Emitter Identification via Convolutional Neural Networks

2. Identifying Wireless Users via Transmitter Imperfections

3. Cooperative Specific Emitter Identification via Multiple Distorted Receivers

4. Unsupervised Specific Emitter Identification Method Using Radio-Frequency Fingerprint Embedded InfoGAN

5. Injecting Reliable Radio Frequency Fingerprints Using Metasurface for the Internet of Things

Cited by 1 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. Considerations, Advances, and Challenges Associated with the Use of Specific Emitter Identification in the Security of Internet of Things Deployments: A Survey;Information;2023-08-29

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