Human Body Micro-Doppler Signal Detection Technology based on CW Doppler Radar

As a method of non-contact life sign detection, life detection radar is widely used in post-disaster rescue and patient monitoring. How to detect the human heartbeat and respiration signals from the complex environment and further improve the signal-to-noise ratio of the signals is a difficult probl...

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Bibliographic Details
Published in2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) pp. 471 - 476
Main Authors Xu, Xiaoqian, Zeng, Shijie, Liu, Jingping
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.07.2022
Subjects
Adaptive Filtering
Adaptive systems
CW Doppler Radar
Filtering
Filtering algorithms
FPGA
Heart beat
Heartbeat Rate
Life Detection
Respiratory Rate
Signal processing algorithms
Simulation
Software algorithms
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Summary:As a method of non-contact life sign detection, life detection radar is widely used in post-disaster rescue and patient monitoring. How to detect the human heartbeat and respiration signals from the complex environment and further improve the signal-to-noise ratio of the signals is a difficult problem. In this paper, under the CW Doppler radar system, a life detection radar signal processing algorithm based on LMS adaptive filtering is proposed. On the basis of the traditional IIR filtering processing, the LMS adaptive filtering algorithm is further used for processing. The MATLAB simulation results show that the algorithm can extract and separate the heartbeat signal and respiration signal of the human target from the echo signal. The software and hardware are designed on the Micro-Doppler signal processing platform with FPGA as the core, and the human cardiopulmonary signal detection experiment is curried out by using the CW Doppler radar. The simulation and experimental results demonstrate the effectiveness of the signal processing algorithm and the correctness of the related design.
DOI:10.1109/ICPICS55264.2022.9873706