LTE Device Radio Frequency Fingerprints Blind Extraction Based on Temporal-Frequency Domain PRACH Signals

Author:

Li Dongming1ORCID,Yang Xuan1,Hu Aiqun2ORCID,Zhou Fuhui3ORCID,Dobre Octavia A.4ORCID

Affiliation:

1. School of Cyber Science and Engineering, Southeast University, Nanjing, China

2. School of Information Science and Engineering, Southeast University, Nanjing, China

3. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

4. Department of Electrical and Computer Engineering, Memorial University, St. John's, NL, Canada

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 5 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. Localization With Cellular Signal RSRP Fingerprint of Multiband and Multicell;IEEE Journal on Selected Areas in Communications;2024-09

2. Hybrid RFF Identification for LTE Using Wavelet Coefficient Graph and Differential Spectrum;IEEE Transactions on Vehicular Technology;2024-08

3. Channel-Robust Radio Frequency Fingerprint Identification for Cellular Uplink LTE Devices;IEEE Internet of Things Journal;2024-05-15

4. LED-RFF: LTE DMRS-Based Channel Robust Radio Frequency Fingerprint Identification Scheme;IEEE Transactions on Information Forensics and Security;2024

5. Channel-Robust Radio Frequency Fingerprint Identification for LTE Devices with Hybrid Feature;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

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