RF-Based Drone Classification Under Complex Electromagnetic Environments Using Deep Learning-Reference-Cited by-同舟云学术

RF-Based Drone Classification Under Complex Electromagnetic Environments Using Deep Learning

Author:

Zhang Hanshuo¹^ORCID,Li Tao¹^ORCID,Li Yongzhao¹^ORCID,Li Jinhui²,Dobre Octavia A.³^ORCID,Wen Zhijin²

Affiliation:

1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

2. Laboratory of Electromagnetic Space Cognition and Intelligent Control, Beijing, China

3. Faculty of Engineering and Applied Science, Memorial University, St. John’s, NL, Canada

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Postdoctoral Science Foundation of China

Shaanxi Provincial Key Research and Development Program

State Key Laboratory of Integrated Services Network

Natural Sciences and Engineering Research Council of Canada (NSERC) through its Discovery Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference43 articles.

2. A classification algorithm for blind UAV detection in wideband RF systems;prasad;Proc IEEE 92nd Veh Technol Conf (VTC-Fall),2020

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