Paper Info
Title
Identification Technology of UAV Based on Micro-Doppler Effect
Abstract
In recent years, unmanned aerial vehicle (UAV) technology has developed rapidly. Currently, UAVs are widely used in IoT deployment and smart agriculture. At present, the main method for radar to identify UAV is analyzing the Micro-Doppler effect. Passive radar technology based on 5G base stations can identify UAV in complex urban environments. In this paper, we propose a method combining micro Doppler effect and pattern recognition technology. Firstly, we processed the radar echo to get the Micro-Doppler feature image. Then the Micro-Doppler feature image will be classified by pattern recognition in order to judge the number of UAV rotors. The simulation results show that the method combining the Micro-Doppler effect and pattern recognition can identify the UAV in real time and accurately.
Year
DOI
Venue
2021
10.1109/IWCMC51323.2021.9498700
2021 International Wireless Communications and Mobile Computing (IWCMC)
Keywords
DocType
ISSN
Micro Doppler effect,Pattern recognition,UAV identification
Conference
2376-6492
ISBN
Citations 
PageRank 
978-1-7281-8617-7
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Tao Hong100.34
Chaoqun Fang200.34
Hai Hao300.34
Wenbo Sun4184.14