Wide Field-of-View Locating and Multimodal Vital Sign Monitoring Based on -Band CMOS-Integrated Phased-Array Radar Sensor

• Published in: IEEE transactions on microwave theory and techniques Vol. 68; no. 9; pp. 4054 - 4065
• Main Authors: Fang, Zhongyuan, Lou, Liheng, Tang, Kai, Wang, Wensong, Wang, Yisheng, Guo, Ting, Yang, Chuanshi, Zheng, Yuanjin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Antenna array; Automobile safety; Beam steering; Biomedical monitoring; chirp signal; CMOS; complementary metal-oxide-semiconductor (CMOS)-integrated radar; Delays; Falling; falling detection; Field of view; interferometric time-phase analysis (ITPA); Monitoring; phased array; Power consumption; Radar antennas; Radar arrays; Radar detection; Receivers; RF biomedical devices; Sensor arrays; Sensors; subject localization; Time lag; vital sign monitoring
• ISSN: 0018-9480; 1557-9670
• DOI: 10.1109/TMTT.2020.2989284

In this article, an <inline-formula> <tex-math notation="LaTeX">{X} </tex-math></inline-formula>-band complementary metal-oxide-semiconductor (CMOS)-integrated phased-array radar sensor is proposed to enable the subject localization and multimodal vital sign monitoring. With the accurate beam-steering (ABS) technique realized by both true-time delay and phase shifting at the transmitter, the phased-array radar sensor achieves 60° steering coverage for the locating and monitoring on the targeted subjects with fine beam-steering precision. With the interferometric time-phase analysis (ITPA) algorithm adopted to the dechirped signal at the receiver, the vital signs and falling are detected by the radar sensor. Fabricated in 65-nm CMOS technology, the radar sensor occupies 5.8 mm 2 of silicon area and consumes 740.7-mW power. A series of experiments was carried out to demonstrate the capabilities of the prototype radar sensor on localizing the targeted subjects, discerning vital signs, and detecting falling in a wide field of view (FoV).