Volume 14 Issue 1
Jan.  2025
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Article Navigation >  Journal of Radars  > 2025  >  14(1): 62-72
LI Zhi, TANG Chengyao, DAI Yongpeng, et al. Multirotor UAV-borne vital signs sensing using 4D imaging radar[J]. Journal of Radars, 2025, 14(1): 62–72. doi: 10.12000/JR24128
Citation: LI Zhi, TANG Chengyao, DAI Yongpeng, et al. Multirotor UAV-borne vital signs sensing using 4D imaging radar[J]. Journal of Radars, 2025, 14(1): 62–72. doi: 10.12000/JR24128
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Multirotor UAV-borne Vital Signs Sensing Using 4D Imaging Radar

DOI: 10.12000/JR24128 CSTR: 32380.14.JR24128
  • 1.

    Communication Noncommissioned Officer School, Army Engineering University of PLA, Nanjing 210007, China

  • 2.

    College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Funds:  Natural Science Foundation of Chongqing China (CSTB2024NSCQ-MSX1143)
More Information
  • Corresponding author: JIN Tian, tianjin@nudt.edu.cn
  • Received Date: 2024-06-21
  • Rev Recd Date: 2024-09-25
    • Available Online: 2024-10-08
  • Publish Date: 2024-10-16
    Abstract
  • Unmanned Aerial Vehicle (UAV)-borne radar technology can solve the problems associated with noncontact vital sign sensing, such as limited detection range, slow moving speed, and difficult access to certain areas. In this study, we mount a 4D imaging radar on a multirotor UAV and propose a UAV-borne radar-based method for sensing vital signs through point cloud registration. Through registration and motion compensation of the radar point cloud, the motion error interference of UAV hovering is eliminated; vital sign signals are then obtained after aligning the human target. Simulation results show that the proposed method can effectively align the 4D radar point cloud sequence and accurately extract the respiration and heartbeat signals of human targets, thereby providing a way to realize UAV-borne vital sign sensing.

     

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