Portable Radar Systems at the Human-Microwave Frontier: Life Activity Sensing and Human Tracking
The seminar will be given by Changzhi Li, Professor, Texas Tech University, USA and IEEE Distinguished Microwave Lecturer, as part of the course "Biolectromagnetism M."
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Date: 23 October 2023 from 10:00 to 12:00
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Event location: Room 2.6, via dell'Università 50, Cesena, and online
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Access Details: Free admission
About the speaker
Changzhi Li received a Ph.D. degree in Electrical Engineering from the University of Florida, Gainesville, FL in 2009. He is a Professor at Texas Tech University. His research interest is microwave/millimeter-wave sensing for healthcare, security, and human-machine interface. Dr. Li is an MTT-S Distinguished Microwave Lecturer. He was a recipient of the IEEE MTT-S Outstanding Young Engineer Award, the IEEE Sensors Council Early Career Technical Achievement Award, the ASEE Frederick Emmons Terman Award, the IEEE-HKN Outstanding Young Professional Award, and the U.S. National Science Foundation (NSF) Faculty CAREER Award. He is an Associate Editor of the IEEE JERM. He is the General Co-chair of the 2023 IEEE Radio & Wireless Week (RWW). He served as the chair of the MTT-S Technical Committee “Biological Effect and Medical Applications of RF and Microwave” from 2018 to 2019, the TPC Chair of the 2022 IEEE RWW, a TPC Co-Chair of the IEEE MTT-S International Microwave Biomedical Conference (IMBioC) from 2018 to 2019, and the IEEE Wireless and Microwave Technology Conference from 2012 to 2013. He is a Fellow of the National Academy of Inventors.
Abstract
By sensing various life activities with microwave signals, portable radar with state-of-the-art front-end and measurement algorithms has great potential to improve healthcare, security, and human-machine interface. This presentation will first provide an overview of the state-of-the-art smart radar sensors powered by advanced digital/RF beamforming, multiple-input and multiple-output (MIMO), inverse synthetic-aperture radar (ISAR) technique, injection locking, and deep learning. A few examples based on interferometry, Doppler, frequency-shift keying (FSK), and frequency-modulated continuous-wave (FMCW) modes at 5.8 GHz, 24 GHz, and 120 GHz will be discussed. In addition, the use of nonlinear technologies will be reported, with a focus on in-band third-order intermodulation measurement for enhanced target identification and parameter extraction. Case studies at this exciting human-microwave frontier will be given on physiological signal sensing, non-contact human-computer interface, driving behavior recognition, human tracking, and clinical monitoring. Finally, this talk will conclude with future industrial and academic R&D outlooks for microwave short-range life activities sensing.