Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa
Author:
Affiliation:
1. Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K
2. Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
Funder
U.K. Royal Society Research Grants
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/10206/9652463/09715147.pdf?arnumber=9715147
Reference52 articles.
1. Enhanced RF Fingerprinting for IoT Devices with Recurrent Neural Networks
2. More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting
3. The Tags Are Alright
4. DeepLoRa
5. Injecting Reliable Radio Frequency Fingerprints Using Metasurface for the Internet of Things
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