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Radar-Assisted UAV Detection and Identification Based on 5G in the Internet of Things
Joint Authors
Zhao, Jingcheng
Fu, Xinru
Yang, Zongkai
Xu, Fengtong
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Unmanned aerial vehicles (UAVs) have broad application potential for the Internet of Things (IoT) due to their small size, low cost, and flexible control.
At present, the main positioning method for UAVs is the use of GPS.
However, GPS positioning may be affected by stronger electromagnetic signals from spoofing attacks.
In this study, a radar-assisted positioning method based on 5G millimeter waves is proposed.
In 5G end-to-end network slices, the rotors of UAVs can be detected and identified by deploying 5G millimeter wave radar.
High-resolution range profile (HRRP) is used to obtain the UAV location in the detection zone.
Micro-Doppler characteristics are used to identify the UAVs and the cepstrum method is used to extract the number and speed information of the UAV rotor.
The sinusoidal frequency modulation (SFM) parameter optimization method is used to separate multiple UAVs.
The proposed method provides information on the number of UAVs, the position of the UAV, the number of rotors, and the rotation speed of each rotor.
The simulation results show that the proposed radar detection method is well suited for UAV detection and identification and provides a valid GPS-independent method for UAV tracking.
American Psychological Association (APA)
Zhao, Jingcheng& Fu, Xinru& Yang, Zongkai& Xu, Fengtong. 2019. Radar-Assisted UAV Detection and Identification Based on 5G in the Internet of Things. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1212063
Modern Language Association (MLA)
Zhao, Jingcheng…[et al.]. Radar-Assisted UAV Detection and Identification Based on 5G in the Internet of Things. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1212063
American Medical Association (AMA)
Zhao, Jingcheng& Fu, Xinru& Yang, Zongkai& Xu, Fengtong. Radar-Assisted UAV Detection and Identification Based on 5G in the Internet of Things. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1212063
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212063