集成增益增强宽带天线传感器的cmos收发芯片用于远程医疗诊断中人体呼吸监测

Wensong Wang, Zhongyuan Fang, Kai Tang, Xi-Xi Wang, Zhou Shu, Yuanjin Zheng
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引用次数: 1

摘要

提出了一种集成65纳米CMOS收发芯片的小型增益增强天线传感器,用于远程医疗诊断中的呼吸监测,具有宽带宽、高增益。为了提高增益,在维瓦尔第天线上加载了超表面透镜和u型槽,增加了前向增益。天线特性对提高14 ~ 16 GHz呼吸雷达的探测能力有一定的贡献。通过仿真和测量来评估其特性及其支持呼吸雷达工作的性能。作为概念的证明,原型被设计、制造和测试。实验结果与仿真结果吻合较好。在−10 dB的反射系数下,实现了11.5 ~ 21.3 GHz (59.76% FBW)的阻抗带宽,端口隔离度高于24.92 dB。实现增益高达10.5 dBi,辐射效率为88.01-90.02%,天线单元间的包络相关系数(ECC)小于0.00122。结合设计制作的基于65nm CMOS工艺的收发器,搭建了测试电路和系统。实验采用呼吸雷达进行。从原始数据中提取的相位信息表明,所提出的宽带天线传感器可以用于识别呼吸活动吸气和呼气时胸壁反射信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gain-Enhanced Wideband Antenna Sensor Integrated with CMOS-Based Transceiver Chip for Human Respiratory Monitoring in Telemedicine Diagnosis
A compact gain-enhanced antenna sensor integrated with 65-nm CMOS based transceiver chip is proposed for respiratory monitoring in telemedicine diagnosis with a wide bandwidth, high gain. To enhance the gain, a metasurface lens and| U-shaped slot are loaded on the Vivaldi antenna, which increases the forward gain. The antenna properties have a contribution to improving the detection capability of the respiration radar ranging from 14 to 16 GHz. The simulation and measurement have been performed to evaluate its characteristics and its performance in supporting respiration radar operation. As a proof of concept, a prototype is designed, fabricated, and tested. A good agreement is observed between measurement and simulation results. It achieves an impedance bandwidth from 11.5 to 21.3 GHz (59.76% FBW) for a −10-dB reflection coefficient with port isolation higher than 24.92 dB. The realized gain is up to 10.5 dBi, the radiation efficiency is 88.01-90.02%, and the envelope correlation coefficient (ECC) is less than 0.00122 among antenna elements. Integrated with the designed and fabricated transceiver based on the 65 nm CMOS processing, the test circuit and system are built up. The experiment is conducted by using the respiration radar. The extracted phase information from the raw data shows that the proposed wideband antenna sensor can be used to identify the reflected signal from the chest wall at inhaling and exhaling phase of respiration activity.
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