Ultra-wideband radar is an important remote sensing tool for life detection,and this paper uses the advantages of ultra-wideband radar with strong penetration and high resolution,which can obtain human vital sign information,and can process radar echo signals to obtain respiratory and heartbeat information,so as to realize non-contact monitoring of life signals.Aiming at the problems that the echo signal is easily affected by environmental noise,the heartbeat signal is weak and easily affected by respirato-ry harmonics,a vital sign model is constructed to simulate human breathing and heartbeat frequency,and a new method based on variational mode decomposition(VMD)and multiple signal classification(MUSIC).Experiments were carried out using Pul-sON440 ultra-wideband radar at a distance of 1 meter.Compared with traditional Fast Fourier Transform(FFT)and Singular Val-ue Decomposition(SVD),the method extracts more accurate breathing and heartbeat signals.The applicability of the method is verified under different distances and shading conditions.The results show that the proposed method based on the combination of MUSIC and VMD can effectively separate the small heartbeat signal from the large breathing signal,and accurately detect the breathing and heartbeat frequency.
关键词
超宽带雷达/目标生命探测/傅里叶变换/多重分类算法/变分模态分解算法
Key words
ultra-wideband radar/target life detection/Fourier transform/multiple signal classification algorithm/variational mode decomposition
维普
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