Non-Contact Vital Sign Detection With High Noise and Clutter Immunity Based on Coherent Low-IF CW Radar

Non-contact vital sign detection using Continuous-Wave (CW) radar is subject to noises and clutters. The heterodyne architecture of the radar transceiver resolves the flicker noise. However, it still suffers from other noise components. Moreover, the presence of clutter also significantly introduces distortions in the sensing results. In this paper, an extended Noise-Immune Motion Sensing (ENIMS) technique is proposed to tackle the noise and clutters simultaneously in the low intermediate-frequency (IF) CW radar. It works by synthesizing <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I/Q</i> signals at the IF peak of the spectra of the sequentially divided signal segments. Each segment generates one pair of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I/Q</i> data points and thus improves the signal-to-noise ratio (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SNR</i>). During this process, clutters are also converted into DC components of the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I/Q</i> signals. The circle-fitting-based DC compensation technique can thus be used to resolve the clutter issues. High-accurate displacement motion is then reconstructed with the DC-compensated <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I/Q</i> signals. The theory and noise performance analysis are presented. Simulation and experiments show that, with the proposed technique, the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SNR</i> is improved by around 34 dB. Mechanical vibration as small as 90 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">μ</i>m and the subject person's breath and heartbeat at 3.2 m away from the 5. 8 GHz radar were detected under cluttered office environments with a small transmitting power of only 10 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">μ</i>W, whereas the conventional methods fail in the same cases.

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Publication Details

Journal
IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology
Published
2024-09-20
DOI
https://doi.org/10.1109/jerm.2024.3454332
Citations
8
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
1.48

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article

Non-Contact Vital Sign Detection With High Noise and Clutter Immunity Based on Coherent Low-IF CW Radar

Changzhan Gu, Jingtao Liu, Fei Tong
8 citations
IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology
Non-Invasive Vital Sign Monitoring
1.48
article

Non-Contact Vital Sign Detection With High Noise and Clutter Immunity Based on Coherent Low-IF CW Radar

Changzhan Gu, Jingtao Liu, Fei Tong
article en
8 citations

Abstract

Non-contact vital sign detection using Continuous-Wave (CW) radar is subject to noises and clutters. The heterodyne architecture of the radar transceiver resolves the flicker noise. However, it still suffers from other noise components. Moreover, the presence of clutter also significantly introduces distortions in the sensing results. In this paper, an extended Noise-Immune Motion Sensing (ENIMS) technique is proposed to tackle the noise and clutters simultaneously in the low intermediate-frequency (IF) CW radar. It works by synthesizing <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I/Q</i> signals at the IF peak of the spectra of the sequentially divided signal segments. Each segment generates one pair of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I/Q</i> data points and thus improves the signal-to-noise ratio (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SNR</i>). During this process, clutters are also converted into DC components of the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I/Q</i> signals. The circle-fitting-based DC compensation technique can thus be used to resolve the clutter issues. High-accurate displacement motion is then reconstructed with the DC-compensated <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I/Q</i> signals. The theory and noise performance analysis are presented. Simulation and experiments show that, with the proposed technique, the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SNR</i> is improved by around 34 dB. Mechanical vibration as small as 90 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">μ</i>m and the subject person's breath and heartbeat at 3.2 m away from the 5. 8 GHz radar were detected under cluttered office environments with a small transmitting power of only 10 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">μ</i>W, whereas the conventional methods fail in the same cases.

IEEE Journal of Electromagnetics RF and Microwaves in Medicine and BiologyVol. 9(1)
Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 19%
Non-Invasive Vital Sign Monitoring
1.48
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