A Wi-Fi Frequency Band Passive Biomedical Doppler Radar Sensor
A Wi-Fi Frequency Band Passive Biomedical Doppler Radar Sensor
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DOI：
10.1109/tmtt.2022.3193408
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发表时间：
2023-01
影响因子：
4.3
通讯作者：
Dongyang Tang;V. G. R. Varela;Davi V. Q. Rodrigues;Daniel Rodriguez;Changzhi Li
中科院分区：
文献类型：
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作者：
Dongyang Tang;V. G. R. Varela;Davi V. Q. Rodrigues;Daniel Rodriguez;Changzhi Li
在过去的几十年中，无线通信的巨大投资和增长已经占用了越来越多的射频（RF）频谱，并造成了可用无线电频谱的短缺。因此，频谱效率是研究前沿的关键问题。与传统的雷达传感器相比，它依赖于发射机和接收机来检测目标，微波被动传感不需要专用的发射机。因此，微波无源传感可以具有更低的功率和更低的成本，同时节省在现代无线时代变得有限的RF频谱。由于射频信号无处不在，微波无源传感技术具有巨大的机会。本文提出了一种无源生物医学多普勒雷达传感器，该传感器工作在Wi-Fi 2.4 GHz频段，通过第三方2.4 GHz发射器检测人体受试者的生理运动。所提出的无源雷达不需要参考信号。它具有简单的架构，内置LNA和定制的单输入二极管混频器，可最大限度地提高下变频增益。实验结果表明，该无源雷达接收机从天线输出到混频器输出的电压增益为53.9 dB，能够成功地测量人体的呼吸率和心率。测量的呼吸率和心率分别与指尖脉搏监测器和胸带呼吸监测器的结果相匹配。手势检测也证明了与拟议的被动雷达。
In the past decades, dramatic investments and growth in wireless communication have occupied more and more radio frequency (RF) spectrum and created a shortage in the available radio spectrum. Hence, spectrum efficiency is a critical issue at the forefront of the research. Compared with conventional radar sensors, which rely on a transmitter and a receiver to detect a target, microwave passive sensing does not require a dedicated transmitter. Therefore, microwave passive sensing can have lower power and lower cost while saving the RF spectrum that is becoming limited in the modern wireless era. Since RF signals exist ubiquitously, microwave passive sensing technology has tremendous opportunities. This article proposes a passive biomedical Doppler radar sensor that operates at the Wi-Fi 2.4-GHz band to detect physiological motions of human subjects with a third-party 2.4-GHz transmitter. The proposed passive radar does not require a reference signal. It has a simple architecture with an LNA and a customized single-input diode-based mixer to maximize the down-conversion gain. Experiment results demonstrated that the proposed passive radar receiver has a voltage gain of 53.9 dB from the antenna output to the mixer output, and it can measure the respiration rate and the heart rate of a human subject successfully. The measured respiration rate and heart rate match the results from a fingertip pulse monitor and a chest band respiration monitor, respectively. Gesture detection was also demonstrated with the proposed passive radar.