Radio Frequency Fingerprint Identification Based on Deep Complex Residual Network
Radio frequency fingerprint identification is a non-password authentication method based on the physical layer hardware of the communication device. Deep learning methods provide new ideas and techniques for radio frequency fingerprint identification. As a bridge between electromagnetic signal recog...
Main Authors: | Shenhua Wang, Hongliang Jiang, Xiaofang Fang, Yulong Ying, Jingchao Li, Bin Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9253560/ |
Similar Items
-
Differential Contour Stellar-Based Radio Frequency Fingerprint Identification for Internet of Things
by: Jingchao Li, et al.
Published: (2021-01-01) -
A Database for the Radio Frequency Fingerprinting of Bluetooth Devices
by: Emre Uzundurukan, et al.
Published: (2020-06-01) -
Exploiting Future Radio Resources With End-to-End Prediction by Deep Learning
by: Jia Guo, et al.
Published: (2018-01-01) -
Construction of Hybrid Dual Radio Frequency RSSI (HDRF-RSSI) Fingerprint Database and Indoor Location Method
by: Haotai Sun, et al.
Published: (2020-05-01) -
Differential Complex-Valued Convolutional Neural Network-Based Individual Recognition of Communication Radiation Sources
by: Long Ying, et al.
Published: (2021-01-01)