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DTSTAMP:20240105T045050Z
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DTSTART;TZID=America/Mexico_City:20220616T190000
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DESCRIPTION:By sensing various life activities with microwave signals\, por
 table radar sensors with state-of-the-art front-end and measurement algori
 thms have great potential to improve healthcare\, security\, and human-mac
 hine interface. This presentation will first provide an overview on the st
 ate-of-the-art smart radar sensors powered by advanced digital/RF beamform
 ing\, multiple-input and multiple-output (MIMO)\, synthetic aperture radar
  (SAR)\, inverse synthetic-aperture radar (ISAR)\, and deep learning. A fe
 w examples based on interferometry\, Doppler\, frequency-shift keying (FSK
 )\, and frequency-modulated continuous-wave (FMCW) modes at 5.8 GHz\, 24 G
 Hz\, and 120 GHz will be discussed. In addition\, the use of nonlinear tec
 hnologies will be reported\, with a focus on in-band third-order intermodu
 lation measurement for enhanced target identification and parameter extrac
 tion. 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.\n\n
 As smart radar sensors enter the healthcare\, automotive\, and smart livin
 g sectors of daily life\, measures to enhance its security against malicio
 us 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 unveil
 ed to make smart radar sensors more secure and trustworthy. The technical 
 talk will conclude with future industrial and academic R&D outlooks for mi
 crowave short-range life activities sensing.\n\nFinally\, the speaker will
  introduce several fellowship and scholarship opportunities of MTT-S.\n\nS
 peaker(s): PhD. Changzhi Li\, \n\nVirtual: https://events.vtools.ieee.org/
 m/315515
LOCATION:Virtual: https://events.vtools.ieee.org/m/315515
ORGANIZER:josechavez@iteso.mx
SEQUENCE:3
SUMMARY:[DML] Portable Radar Systems for Life Activity Sensing\, Anomaly De
 tection\, and Human Tracking by PhD. Changzhi Li
URL;VALUE=URI:https://events.vtools.ieee.org/m/315515
X-ALT-DESC:Description: <br /><p>By sensing various life activities with mi
 crowave signals\, portable radar sensors with state-of-the-art front-end a
 nd measurement algorithms have great potential to improve healthcare\, sec
 urity\, and human-machine interface. This presentation will first provide 
 an overview on the state-of-the-art smart radar sensors powered by advance
 d digital/RF beamforming\, multiple-input and multiple-output (MIMO)\, syn
 thetic aperture radar (SAR)\, inverse synthetic-aperture radar (ISAR)\, an
 d deep learning. A few examples based on interferometry\, Doppler\, freque
 ncy-shift keying (FSK)\, and frequency-modulated continuous-wave (FMCW) mo
 des 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 f
 rontier will be given on physiological signal sensing\, non-contact human-
 computer interface\, driving behavior recognition\, human tracking\, and a
 nomaly detection.</p>\n<p>As smart radar sensors enter the healthcare\, au
 tomotive\, and smart living sectors of daily life\, measures to enhance it
 s security against malicious attacks are of paramount importance. This par
 t of the talk will discuss possible ways of malicious attacks based on spo
 ofing and jamming to radar sensors. Then technologies that mitigate potent
 ial attacks will be unveiled to make smart radar sensors more secure and t
 rustworthy. The technical talk will conclude with future industrial and ac
 ademic R&amp\;D outlooks for microwave short-range life activities sensing
 .&nbsp\;</p>\n<p>Finally\, the speaker will introduce several fellowship a
 nd scholarship opportunities of MTT-S.</p>
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