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, 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 presented on physiological signal sensing, non-contact human-computer interface, driving behavior recognition, human tracking, and studies in clinical environments. Finally, this talk will conclude with future industrial and academic R&D outlooks for microwave short-range life activities sensing.
Speaker(s): Prof. Changzhi Li
Bldg: HUB 350, 350 Legget Dr, Kanata, Ontario, Canada
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