Micro Drone Detection and Parameters Estimation Based on Micro-Doppler of Blades

被引:0
|
作者
Fang, Xin [1 ]
Lu, Chuan [2 ]
Zhang, Ming [2 ]
Min, Rui [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 611731, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Res Inst, Chengdu 611731, Sichuan, Peoples R China
来源
COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS | 2019年 / 463卷
基金
中国国家自然科学基金;
关键词
Drone detection; Micro Doppler signatures; Parameters estimation;
D O I
10.1007/978-981-10-6571-2_57
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Small unmanned aerial vehicles (UAVs) or micro drones are widely used for many applications in these years. But the misuse of micro drones may cause security issues. The problem of micro drone detection and parameters estimation is considered in this paper. Micro Doppler signatures of the drone's rotating rotor blades are applied to identify micro drone. Firstly, the signal mathematical model of drone's rotating multi-rotor blades is built and the flashes are used for detection. Then, the relationship between the micro Doppler signatures and the parameters of drones is analyzed. Furthermore, parameters, such as the number of blades, the number of rotor, the rotation rate and the length of blade, are estimated in this article. Finally, the results show that the effectiveness of the proposed method.
引用
收藏
页码:472 / 478
页数:7
相关论文
共 50 条
  • [31] Drone classification using mmWave micro-Doppler radar measurements
    Ciattaglia, Gianluca
    Senigagliesi, Linda
    Alidori, Daniele
    Cipriani, Laura
    Iadarola, Grazia
    Spinsante, Susanna
    Gambi, Ennio
    2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (IEEE METROAEROSPACE 2022), 2022, : 259 - 264
  • [32] Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types
    Yan, Jun
    Hu, Huiping
    Gong, Jiangkun
    Kong, Deyong
    Li, Deren
    DRONES, 2023, 7 (04)
  • [33] Micro-Doppler Encoding for Long-Range Drone Monitoring
    Vovchuk, D.
    Khobzei, M.
    Tkach, V.
    Eliiashiv, O.
    Tzidki, O.
    Grotov, K.
    Bobrovs, V.
    Glam, A.
    Ginzburg, P.
    2024 EIGHTEENTH INTERNATIONAL CONGRESS ON ARTIFICIAL MATERIALS FOR NOVEL WAVE PHENOMENA, METAMATERIALS 2024, 2024,
  • [34] Micro-Doppler Signal Representation for Drone Classification by Deep Learning
    Gerard, Julien
    Tomasik, Joanna
    Morisseau, Christele
    Kimmel, Arpad
    Vieillard, Gilles
    28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), 2021, : 1561 - 1565
  • [35] Micro-Doppler analysis of moving helicopter's rotor blades
    Chen, Peng
    Hao, Shiqi
    Hu, Yihua
    Li, Zheng
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2015, 44 (01): : 118 - 121
  • [36] Micro-Doppler Parameter Estimation Method Based on Compressed Sensing
    Chang J.
    Fu X.
    Jiang W.
    Xie M.
    Journal of Beijing Institute of Technology (English Edition), 2019, 28 (02): : 286 - 295
  • [37] Micro-Doppler features based parameter estimation and identification of tank
    Huang J.
    Li X.
    Huang X.-T.
    He F.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2010, 32 (05): : 1050 - 1055
  • [38] Micro-Doppler Parameter Estimation Method Based on Compressed Sensing
    Jiayun Chang
    Xiongjun Fu
    Wen Jiang
    Min Xie
    Journal of Beijing Institute of Technology, 2019, 28 (02) : 286 - 295
  • [39] A robust detection method for micro-Doppler feature of rotating blades under low SNR
    Xie, Congshuang
    Li, Junjie
    Chen, Qin
    Zhao, Zihao
    Song, Chunyi
    Xu, Zhiwei
    IEICE COMMUNICATIONS EXPRESS, 2019, 8 (08): : 363 - 368
  • [40] Algorithm of typical rotor shape parameters by micro-Doppler laser detection
    Wang Y.
    Hu Y.
    Lei W.
    Guo L.
    2018, Chinese Society of Astronautics (47):