Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities
Author:
Affiliation:
1. Hamad Bin Khalifa University (HBKU),College of Science and Engineering (CSE),Doha,Qatar
2. KTH Royal Institute of Technology,Networked Systems Security group,Stockholm,Sweden
3. Eindhoven University of Technology,Eindhoven,Netherlands
Funder
Qatar Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10592105/10592309/10592579.pdf?arnumber=10592579
Reference15 articles.
1. A Review of Radio Frequency Fingerprinting Techniques
2. PAST-AI: Physical-Layer Authentication of Satellite Transmitters via Deep Learning
3. Deep learning
4. A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges
5. WiSig: A Large-Scale WiFi Signal Dataset for Receiver and Channel Agnostic RF Fingerprinting
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3