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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
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DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20260323T135907Z
UID:EE501E0C-A963-4B6D-B859-0E609B354AB7
DTSTART;TZID=Asia/Kolkata:20260323T180000
DTEND;TZID=Asia/Kolkata:20260323T190000
DESCRIPTION:Abstract of the Talk:\n\nIncreasing threats of terrorism and co
 ntraband smuggling have led to a growing interest in high-frequency securi
 ty sensors. Recently\, systems combining active and passive microwave sens
 ing into one unit have been proposed to improve reliability in the detecti
 on of contraband. However\, the capability to measure material properties 
 in real-time at standoff distances of a few meters would greatly enhance t
 he ability of security sensors to classify concealed items. This talk disc
 usses a noninvasive approach to extract the complex permittivity and thick
 ness of hidden or embedded dielectrics using multi-mode (active-passive) s
 ensing. The design and operation of two types of microwave sensors are dis
 cussed—radar (active) and radiometer (passive)\, both operating in the K
 -band (18-26 GHz). Critical factors that degrade the performance of both s
 ystems often involve imperfections in the RF front-end as well as backgrou
 nd clutter. To mitigate these issues\, the following calibration technique
 s are presented to: (i) correct RF front-end distortion in frequency-modul
 ated continuous wave radars\, (ii) correct mismatch and temperature-depend
 ent insertion loss contributions in the RF front-end of radiometers\, and 
 (iii) correct background noise for radiometers in indoor applications. Ele
 ctromagnetic models to predict the radar and radiometric responses of mult
 i-layer dielectric targets are investigated and experimentally verified us
 ing dielectric stacks backed by a simplified human phantom (warm water). T
 he models are then used to extract the dielectric constant\, loss tangent\
 , and thickness of an embedded layer within the stack with 5% accuracy. Wh
 ile presented from a security standpoint\, the techniques presented in thi
 s talk may also be used in other applications like remote sensing\, detect
 ion of buried fires\, and food safety inspections.\n\nSpeaker(s): Prof. Ar
 ya Menon\, \n\nVirtual: https://events.vtools.ieee.org/m/546787
LOCATION:Virtual: https://events.vtools.ieee.org/m/546787
ORGANIZER:IEEE.apmtts.sbciitkgp@gmail.com
SEQUENCE:38
SUMMARY:Multi-mode (radar-radiometer) Sensing for Security Applications: Im
 proved Characterization of Hidden Dielectric Layers
URL;VALUE=URI:https://events.vtools.ieee.org/m/546787
X-ALT-DESC:Description: <br /><div style="text-align: justify\;"><span styl
 e="color: #000000\; font-family: arial\, sans-serif\;"><strong>Abstract of
  the Talk:</strong></span></div>\n<div>\n<div dir="auto" style="text-align
 : justify\;">Increasing threats of terrorism and contraband smuggling have
  led to a growing interest in high-frequency security sensors. Recently\, 
 systems combining active and passive microwave sensing into one unit have 
 been proposed to improve reliability in the detection of contraband. Howev
 er\, the capability to measure material properties in real-time at standof
 f distances of a few meters would greatly enhance the ability of security 
 sensors to classify concealed items. This talk discusses a noninvasive app
 roach to extract the complex permittivity and thickness of hidden or embed
 ded dielectrics using multi-mode (active-passive) sensing. The design and 
 operation of two types of microwave sensors are discussed&mdash\;radar (ac
 tive) and radiometer (passive)\, both operating in the K-band (18-26 GHz).
  Critical factors that degrade the performance of both systems often invol
 ve imperfections in the RF front-end as well as background clutter. To mit
 igate these issues\, the following calibration techniques are presented to
 : (i) correct RF front-end distortion in frequency-modulated continuous wa
 ve radars\, (ii) correct mismatch and temperature-dependent insertion loss
  contributions in the RF front-end of radiometers\, and (iii) correct back
 ground noise for radiometers in indoor applications. Electromagnetic model
 s to predict the radar and radiometric responses of multi-layer dielectric
  targets are investigated and experimentally verified using dielectric sta
 cks backed by a simplified human phantom (warm water). The models are then
  used to extract the dielectric constant\, loss tangent\, and thickness of
  an embedded layer within the stack with 5% accuracy. While presented from
  a security standpoint\, the techniques presented in this talk may also be
  used in other applications like remote sensing\, detection of buried fire
 s\, and food safety inspections.</div>\n</div>
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