Portable Radar Systems for Life Activity Sensing, Anomaly Detection, and Human Tracking by PhD. Changzhi Li

Virtual: https://events.vtools.ieee.org/m/315515

By sensing various life activities with microwave signals, portable radar sensors with state-of-the-art front-end and measurement algorithms have great potential to improve healthcare, security, and human-machine interface. This presentation will first provide an overview on the state-of-the-art smart radar sensors powered by advanced digital/RF beamforming, multiple-input and multiple-output (MIMO), synthetic aperture radar (SAR), inverse synthetic-aperture radar (ISAR), 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 anomaly detection. As smart radar sensors enter the healthcare, automotive, and smart living sectors of daily life, measures to enhance its security against malicious attacks are of paramount importance. This part of the talk will discuss possible ways of malicious attacks based on spoofing and jamming to radar sensors. Then technologies that mitigate potential attacks will be unveiled to make smart radar sensors more secure and trustworthy. The technical talk will conclude with future industrial and academic R&D outlooks for microwave short-range life activities sensing. Finally, the speaker will introduce several fellowship and scholarship opportunities of MTT-S. Speaker(s): PhD. Changzhi Li, Virtual: https://events.vtools.ieee.org/m/315515