Respiration Monitoring of All Occupants in a Vehicle Using Time-Division Multiplexing FMCW Radar Based on Metasurface Technology
Noninvasive respiration monitoring of the driver and all passengers in a vehicle simultaneously with microwave radar technology is crucial for assessing their physiological status. To achieve this, the radar system must be able to monitor and distinguish the respiration signals of multiple closely s...
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Published in | IEEE transactions on microwave theory and techniques Vol. 72; no. 8; pp. 4960 - 4974 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.08.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | Noninvasive respiration monitoring of the driver and all passengers in a vehicle simultaneously with microwave radar technology is crucial for assessing their physiological status. To achieve this, the radar system must be able to monitor and distinguish the respiration signals of multiple closely seated targets in the presence of strong clutter interference within the vehicle. To overcome these challenges, a time-division multiplexing (TDM) frequency modulation continuous-wave (FMCW) radar in conjunction with a multibeam metasurface lens antenna and multifunctional metasurface tags is proposed to estimate the respiration rates of multiple targets in a vehicle. On the one hand, the metasurface lens antenna is employed to steer four sequential-scanning beams toward different human subjects in the vehicle and distinguish them from other closely seated targets. Compared to the conventional phased array, this metasurface antenna eliminates the need for 2-D T/R components. On the other hand, the designed passive metasurface tags are attached to the seat belts worn by human subjects, which can capture the phase changes caused by the movements of the human chests to estimate their respiration rates. In particular, the tags exhibit both retroreflection and polarization selection characteristics, which can retroreflect incident linearly polarized waves at a given angle, thereby improving the signal-to-clutter ratio (SCR) of the respiration signal to combat the strong clutter and multipath reflection in the vehicle. Experimental results demonstrate that the proposed radar can estimate the respiratory rates of all occupants in an in-vehicle scenario, proving the effectiveness of the proposed radar scheme. |
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AbstractList | Noninvasive respiration monitoring of the driver and all passengers in a vehicle simultaneously with microwave radar technology is crucial for assessing their physiological status. To achieve this, the radar system must be able to monitor and distinguish the respiration signals of multiple closely seated targets in the presence of strong clutter interference within the vehicle. To overcome these challenges, a time-division multiplexing (TDM) frequency modulation continuous-wave (FMCW) radar in conjunction with a multibeam metasurface lens antenna and multifunctional metasurface tags is proposed to estimate the respiration rates of multiple targets in a vehicle. On the one hand, the metasurface lens antenna is employed to steer four sequential-scanning beams toward different human subjects in the vehicle and distinguish them from other closely seated targets. Compared to the conventional phased array, this metasurface antenna eliminates the need for 2-D T/R components. On the other hand, the designed passive metasurface tags are attached to the seat belts worn by human subjects, which can capture the phase changes caused by the movements of the human chests to estimate their respiration rates. In particular, the tags exhibit both retroreflection and polarization selection characteristics, which can retroreflect incident linearly polarized waves at a given angle, thereby improving the signal-to-clutter ratio (SCR) of the respiration signal to combat the strong clutter and multipath reflection in the vehicle. Experimental results demonstrate that the proposed radar can estimate the respiratory rates of all occupants in an in-vehicle scenario, proving the effectiveness of the proposed radar scheme. |
Author | Kang, Wei Zhou, Chenwei Wu, Wen |
Author_xml | – sequence: 1 givenname: Wei orcidid: 0000-0002-4762-3331 surname: Kang fullname: Kang, Wei organization: Key Laboratory of Near-Range RF Sensing ICs and Microsystems, Ministry of Education, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China – sequence: 2 givenname: Chenwei surname: Zhou fullname: Zhou, Chenwei organization: Key Laboratory of Near-Range RF Sensing ICs and Microsystems, Ministry of Education, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China – sequence: 3 givenname: Wen orcidid: 0000-0001-6942-0589 surname: Wu fullname: Wu, Wen email: wenwu@njust.edu.cn organization: Key Laboratory of Near-Range RF Sensing ICs and Microsystems, Ministry of Education, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China |
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SubjectTerms | Antenna arrays Clutter Continuous radiation Continuous wavelet transforms Frequency modulation Frequency modulation continuous wave (FMCW) Human subjects in-vehicle multitarget respiration monitoring Lens antennas Linear polarization metasurface lens antenna Metasurfaces Monitoring Phased arrays Polarization polarized multibeam Radar antennas Radar beams Radar equipment Respiration Respiratory rate Retroreflection Seat belts Signal monitoring Signal reflection Tags Technology assessment Time division multiplexing |
Title | Respiration Monitoring of All Occupants in a Vehicle Using Time-Division Multiplexing FMCW Radar Based on Metasurface Technology |
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