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ZHENG Xuezhao, DING Wen, HUANG Yuan, et al. The current research status of UWB radar detection of respiration and heartbeat signals in different scenarios[J]. Journal of Radars, in press. doi: 10.12000/JR24154
Citation: ZHENG Xuezhao, DING Wen, HUANG Yuan, et al. The current research status of UWB radar detection of respiration and heartbeat signals in different scenarios[J]. Journal of Radars, in press. doi: 10.12000/JR24154
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The Current Research Status of UWB Radar Detection of Respiration and Heartbeat Signals in Different Scenarios

DOI: 10.12000/JR24154
  • 1.

    College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi’an 710054, China

  • 2.

    Xi’an Research Center of National Mine Rescue, Xi’an 710054, China

  • 3.

    Shaanxi Xikuang Zhitong Technology Co., Xi’an 710086, China

Funds:  The National Natural Science Foundation of China (52174197), The National Key Research and Development Program of China(2023YFC3010905), Shaanxi Provincial Association for Science and Technology Young Talent Support Program (20240205)
More Information
  • Corresponding author: DING Wen, 2695900258@qq.com; HUANG Yuan, hy_xust@163.com
  • Received Date: 2024-08-07
  • Rev Recd Date: 2024-09-17
    • Available Online: 2024-09-25
    Abstract
  • Due to their many advantages, such as simple structure, low transmission power, strong penetration capability, high resolution, and high transmission speed, UWB (Ultra-Wide Band) radars have been widely used for detecting life information in various scenarios. To effectively detect life information, the key is to use radar echo information–processing technology to extract the breathing and heartbeat signals of the involved person from UWB radar echoes. This technology is crucial for determining life information in different scenarios, such as obtaining location information, monitoring and preventing diseases, and ensuring personnel safety. Therefore, this paper introduces a UWB radar and its classification, electromagnetic scattering mechanisms, and detection principles. It also analyzes the current state of radar echo model construction for breathing and heartbeat signals. The paper then reviews existing methods for extracting breathing and heartbeat signals, including time domain, frequency domain, and time–frequency domain analysis methods. Finally, it summarizes research progress in breathing and heartbeat signal extraction in various scenarios, such as mine rescue, earthquake rescue, medical health, and through-wall detection, as well as the main problems in current research and focus areas for future research.

     

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