Research on Detection Method of UAV Based on micro-Doppler Effect

被引:0
作者
Li, Shuo [1 ]
Chai, Yi
Guo, Maoyun
Liu, Yunling
机构
[1] Chongqing Univ, Key Lab Complex Syst Safety & Control, Minist Educ, Chongqing 400044, Peoples R China
来源
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
关键词
UAV; micro Doppler; detection;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the wide application of small UAV, its negative effects begin to appear gradually. Therefore, it is of great significance to detect UAV. Because the micro Doppler effect of objects is different under the radar, the UAV can be detected by the time-frequency characteristics of the target micro Doppler signal. In this paper, the radar echo of the UAV rotor is simulated and analyzed by using the scattering point integral model. The results show that the UAV can he detected according to the time-frequency characteristics of the micro Doppler signal generated by the UAV rotor rotation. In this paper, Discrete Wavelet Transform is used to remove the environment clutter in radar signal, Singular Value Decomposition is used to extract the time-frequency characteristics of signal, and finally Support Vector Machine is used as classifier to detect UAV. The experiment shows that the detection accuracy can reach 85%.
引用
收藏
页码:3118 / 3122
页数:5
相关论文
共 6 条
[1]  
Bjorklund Svante., 2016, 2016 17th International Radar, P1
[2]  
Chen VC, 2011, ARTECH HSE RADAR LIB, P1
[3]  
de Wit JJM, 2014, 2014 INTERNATIONAL RADAR CONFERENCE (RADAR)
[4]   Micro-Doppler Mini-UAV Classification Using Empirical-Mode Decomposition Features [J].
Oh, Beom-Seok ;
Guo, Xin ;
Wan, Fangyuan ;
Toh, Kar-Ann ;
Lin, Zhiping .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (02) :227-231
[5]  
Rahman S, 2017, 2017 SENSOR SIGNAL PROCESSING FOR DEFENCE CONFERENCE (SSPD), P16
[6]  
[章鹏飞 Zhang Pengfei], 2018, [雷达学报, Journal of Radars], V7, P557