Deep Learning Based RF Fingerprint Identification using Cyclic Shift Characteristic
Author:
Affiliation:
1. School of Cyber Science and Engineering, Southeast University,Nanjing,China
2. School of Information Science and Engineering, Southeast University,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10504139/10504122/10504207.pdf?arnumber=10504207
Reference16 articles.
1. Internet of Things (IoT) Based Activity Recognition Strategies in Smart Homes: A Review
2. A Robust RF Fingerprinting Approach Using Multisampling Convolutional Neural Network
3. Real-time Identification of Rogue WiFi Connections Using Environment-Independent Physical Features
4. Attention is Needed for RF Fingerprinting
5. A Research of I/Q Imbalance based RF Fingerprint Identification with LTE-RACH Signals
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1. A Comprehensive Survey on Deep Learning-Based LoRa Radio Frequency Fingerprinting Identification;Sensors;2024-07-08
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