Noise and Sensitivity of Harmonic Radar Architecture for Remote Sensing and Detection of Vital Signs

被引:77
|
作者
Chioukh, Lydia [1 ]
Boutayeb, Halim [1 ]
Deslandes, Dominic [2 ]
Wu, Ke [1 ]
机构
[1] Ecole Polytech, Montreal, PQ H3T1J4, Canada
[2] Univ Quebec, Dept Comp Sci, Montreal, PQ H3C 3P8, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Detection; harmonic radar; heartbeat; multi-frequency; noise; sensitivity; vital sign; HEARTBEAT; SYSTEM;
D O I
10.1109/TMTT.2014.2343934
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper addresses noise and sensitivity issues in remote sensing and detection of vital signs based on a continuous wave biomedical radar operating at multiple harmonic carrier frequencies or channels. This Doppler radar makes use of a single mixer, taking advantage of the inherent nonlinearity and harmonic characteristics of the mixer. Other system building elements such as antennas, amplifiers, and circulators can also operate at and comply with multiple harmonic frequencies or channels requirements, which makes the system compact. Noise is one of the most important factors that affect the sensitivity of this type of system. The total noise is the combined contribution of thermal noise, residual phase noise, and flicker noise. Flicker noise is found to be the critical parameter for the baseband detection. Experimental results show that with the use of the harmonic radar technique, the flicker noise can be reduced by 20 dB around 1-Hz baseband frequency compared with the counterpart in a conventional radar operating at single frequency. The noise and sensitivity of a harmonic radar system operating at 12 and 24 GHz for vital signs detection are studied theoretically and experimentally. It is proven that the harmonic radar solution is able to increase detection sensitivity by increasing the signal-to-noise ratio. The performance of the harmonic radar is tested experimentally with a moving plate and also a real patient. For the heartbeat detection, an oximeter giving the oxygen saturation of blood and heart rate is used as the reference.
引用
收藏
页码:1847 / 1855
页数:9
相关论文
共 50 条
  • [41] Non-Contact Vital Sign Detection With High Noise and Clutter Immunity Based on Coherent Low-IF CW Radar
    Liu, Jingtao
    Tong, Fei
    Gu, Changzhan
    IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY, 2025, 9 (01): : 90 - 100
  • [42] High-Sensitivity Software-Configurable 5.8-GHz Radar Sensor Receiver Chip in 0.13-μm CMOS for Noncontact Vital Sign Detection
    Li, Changzhi
    Yu, Xiaogang
    Lee, Chien-Ming
    Li, Dong
    Ran, Lixin
    Lin, Jenshan
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2010, 58 (05) : 1410 - 1419
  • [43] Experimental Validation of Algorithms Used by Radar Remote-Sensing Systems for Oil-Spill Detection and Thickness Estimation
    Hammoud, Bilal
    Jomaa, Kassem
    Ndagijimana, Fabien
    Faour, Ghaleb
    Ayad, Hussam
    Jomaah, Jalal
    2019 16TH EUROPEAN RADAR CONFERENCE (EURAD), 2019, : 205 - 208
  • [44] Real-time transponder detection using open-source software-defined radio receiver architecture for harmonic radar systems
    Penaloza-Aponte, Diego
    Urbina, Julio, V
    Fuentes, Jose D.
    RADAR SENSOR TECHNOLOGY XXVI, 2022, 12108
  • [45] A 60-GHz CMOS Direct-Conversion Doppler Radar RF Sensor with Clutter Canceller for Single-Antenna Noncontact Human Vital-Signs Detection
    Kuo, Hsin-Chih
    Chou, Chien-Chang
    Lin, Chien-Chih
    Yu, Chun-Han
    Huang, Tzuen-Hsi
    Chuang, Huey-Ru
    PROCEEDINGS OF THE 2015 IEEE RADIO FREQUENCY INTEGRATED CIRCUITS SYMPOSIUM (RFIC 2015), 2015, : 35 - 38
  • [46] Vital Sign Detection during Large-Scale and Fast Body Movements Based on an Adaptive Noise Cancellation Algorithm Using a Single Doppler Radar Sensor
    Yang, Zi-Kai
    Shi, Heping
    Zhao, Sheng
    Huang, Xiang-Dong
    SENSORS, 2020, 20 (15) : 1 - 17
  • [47] A Fully Integrated 60-GHz CMOS Direct-Conversion Doppler Radar RF Sensor With Clutter Canceller for Single-Antenna Noncontact Human Vital-Signs Detection
    Kuo, Hsin-Chih
    Lin, Chien-Chih
    Yu, Chun-Han
    Lo, Pei-Hua
    Lyu, Jhin-Ying
    Chou, Chien-Chang
    Chuang, Huey-Ru
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2016, 64 (04) : 1018 - 1028
  • [48] Thin-Film Silicon MEMS for Dynamic Mass Sensing in Vacuum and Air: Phase Noise, Allan Deviation, Mass Sensitivity and Limits of Detection
    Pinto, Rui M. R.
    Brito, Pedro
    Chu, Virginia
    Conde, Joao Pedro
    JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, 2019, 28 (03) : 390 - 400
  • [49] Dual Null Detection Points Removal and Time-Domain Sensitivity Analysis of a Self-Injection-Locked Radar for Small-Amplitude Motion Sensing
    Tang, Dongyang
    Rodrigues, Davi V. Q.
    Brown, Michael C.
    Li, Changzhi
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2022, 70 (09) : 4263 - 4272
  • [50] Thin-Film Silicon MEMS for Dynamic Mass Sensing in Vacuum and Air: Phase Noise, Allan Deviation, Mass Sensitivity and Limits of Detection (vol 28, pg 390, 2019)
    Pinto, Rui M. R.
    Brito, Pedro
    Chu, Virginia
    Conde, Joao Pedro
    JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, 2024, 33 (03) : 403 - 404