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DTSTART:20260308T030000
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DTSTART:20251102T010000
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DTSTAMP:20251111T201332Z
UID:ABB2D3C7-EC59-440D-B4A5-EAE92D968C67
DTSTART;TZID=America/Chicago:20251106T130000
DTEND;TZID=America/Chicago:20251106T143000
DESCRIPTION:Rising threats of terrorism and contraband smuggling have inten
 sified interest in high-frequency security sensors. This talk presents a n
 on-invasive approach to extract the complex permittivity and thickness of 
 concealed or embedded dielectrics using multi-mode (active–passive) micr
 owave sensing. Two K-band (18–26 GHz) sensors are discussed—an active 
 radar and a passive radiometer. Performance challenges arising from RF fro
 nt-end imperfections and background clutter are addressed through calibrat
 ion techniques that (i) correct RF distortion in frequency-modulated conti
 nuous-wave radars\, (ii) compensate mismatch and temperature-dependent ins
 ertion loss in radiometers\, and (iii) mitigate background noise in indoor
  conditions. Electromagnetic models are developed to predict radar and rad
 iometric responses of multilayer dielectric targets and experimentally ver
 ified using dielectric stacks backed by a simplified human phantom. These 
 models enable material characterization with about 5% accuracy. Although d
 emonstrated for security sensing\, the techniques extend to remote sensing
 \, subsurface fire detection\, and food safety applications.\n\nSpeaker(s)
 : Arya \, \n\nRoom: ECSS 2.306\, 800 W Campbell Rd\, Richardson\, Texas\, 
 United States\, 75080-3021
LOCATION:Room: ECSS 2.306\, 800 W Campbell Rd\, Richardson\, Texas\, United
  States\, 75080-3021
ORGANIZER:exp230017@utdallas.edu
SEQUENCE:14
SUMMARY:MTTS Outstanding Young Professional Lecture : Arya Menon
URL;VALUE=URI:https://events.vtools.ieee.org/m/507774
X-ALT-DESC:Description: <br /><p>Rising threats of terrorism and contraband
  smuggling have intensified interest in high-frequency security sensors. T
 his talk presents a non-invasive approach to extract the complex permittiv
 ity and thickness of concealed or embedded dielectrics using multi-mode (a
 ctive&ndash\;passive) microwave sensing. Two K-band (18&ndash\;26 GHz) sen
 sors are discussed&mdash\;an active radar and a passive radiometer. Perfor
 mance challenges arising from RF front-end imperfections and background cl
 utter are addressed through calibration techniques that (i) correct RF dis
 tortion in frequency-modulated continuous-wave radars\, (ii) compensate mi
 smatch and temperature-dependent insertion loss in radiometers\, and (iii)
  mitigate background noise in indoor conditions. Electromagnetic models ar
 e developed to predict radar and radiometric responses of multilayer diele
 ctric targets and experimentally verified using dielectric stacks backed b
 y a simplified human phantom. These models enable material characterizatio
 n with about 5% accuracy. Although demonstrated for security sensing\, the
  techniques extend to remote sensing\, subsurface fire detection\, and foo
 d safety applications.</p>
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