JOURNAL ARTICLE
Multi-Target Continuous-Wave Vital Sign Radar using 24 GHz Metamaterial Leaky Wave Antennas
Chunchi LuYichao YuanChao‐Hsiung TsengChung‐Tse Michael Wu
Year: 2019 Journal: 2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) Pages: 1-4
Abstract
This paper presents a multi-target continuous wave vital sign radar sensor module using metamaterial (MTM) leaky wave antennas (LWAs). By utilizing continuous-wave Doppler radar and performing frequency-space mapping over the azimuth angle, we can obtain both respiration and heartbeat rates from multiple people by simply analyzing the baseband signals of the different carrier frequencies at 24 GHz band.
Keywords:
Radar Baseband Continuous-wave radar Metamaterial Acoustics Radar engineering details Antenna (radio) Continuous wave Computer science Sign (mathematics) Pulse-Doppler radar Doppler radar Electronic engineering Physics Radar imaging Bandwidth (computing) Optics Engineering Telecommunications Mathematics
Metrics
33
Cited By
13.19
FWCI (Field Weighted Citation Impact)
13
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Non-Invasive Vital Sign Monitoring
Physical Sciences → Engineering → Biomedical Engineering
Microwave Imaging and Scattering Analysis
Physical Sciences → Engineering → Biomedical Engineering
Wireless Body Area Networks
Physical Sciences → Engineering → Biomedical Engineering
Related Documents
JOURNAL ARTICLE
Multi-Target Motion Detection Radar Sensor using 24GHz Metamaterial Leaky Wave Antennas
Chunchi LuYichao YuanChao‐Hsiung TsengChung‐Tse Michael Wu
Year: 2019 Pages: 1-3
JOURNAL ARTICLE
Multi-target Vital Sign Detection Using Metamaterial Leaky Wave Antenna-Integrated Super-Regenerative Oscillator
Yichao YuanChung‐Tse Michael Wu
Year: 2021 Pages: 1-3
JOURNAL ARTICLE
Noncontact vital-sign radar sensor using metamaterial-based scanning leaky-wave antenna
Chao‐Hsiung TsengChia-Hung Chao
Year: 2016 Pages: 1-3
JOURNAL ARTICLE
Metamaterial leaky wave antennas based vital sign detection with motion compensation using 2-dimensional frequency scanning
Journal: Rutgers University Community Repository (Rutgers University) Year: 2018