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DTSTAMP:20260915T152857Z
UID:EE70033C-705A-441A-A76C-3CB8A1C8B90F
DTSTART;TZID=America/Chicago:20261117T120000
DTEND;TZID=America/Chicago:20261117T130000
DESCRIPTION:Electromagnetic signals in the frequency range of 30–300 GHz 
 can penetrate through materials like clothing\, fog\, and smoke\, and at t
 he same time provide image reconstruction with fine spatial resolution. Mi
 llimeter-wave imaging is typically implemented by means of mechanical or e
 lectrical scanning which requires long data acquisition times or a large n
 umber of active components. Passive millimeter-wave imaging systems that c
 apture thermal signals and operate similarly to optical cameras are very c
 ostly because they need to employ highly sensitive receivers due to therma
 l radiation being extremely low power at millimeter-wave frequencies. This
  talk presents a newly developed millimeter-wave imaging technique called 
 active incoherent millimeter-wave (AIM) imaging which combines the benefit
 s of active and passive millimeter-wave imaging. This approach combines th
 e high signal-to-noise ratio capabilities of active millimeter-wave imagin
 g systems with the fast image formation potential of passive millimeter-wa
 ve imaging systems. The combination is achieved by illuminating the scene 
 with multiple spatially distributed noise transmitters that mimic the rand
 omness of thermal radiation. Starting from our earlier work in microwave f
 requencies\, I discuss the system design and calibration approach\, along 
 with an experimental demonstration of a millimeter-wave active incoherent 
 digital array. The array can generate millimeter-wave video at very high f
 rame rates\, and millimeter-wave imaging results include video captured at
  652 frames per second of a sphere in pendulum motion. The use of stray re
 flections from a small set of communication transmitters is also examined\
 , and incoherent imaging results using WiFi and 5G signals are presented.\
 n\nSpeaker(s): Dr. Stavros Vakalis\n\n800 W Campbell Rd\, Richardson\, Tex
 as\, United States\, 75080
LOCATION:800 W Campbell Rd\, Richardson\, Texas\, United States\, 75080
ORGANIZER:emil.draganov@ieee.org
SEQUENCE:15
SUMMARY:Active incoherent millimeter-wave systems for high-speed imaging wi
 th extremely sparse antenna arrays
URL;VALUE=URI:https://events.vtools.ieee.org/m/577820
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Electromagnetic signals in the frequency r
 ange of 30&amp;ndash\;300 GHz can penetrate through materials like clothing\, 
 fog\, and smoke\, and at the same time provide image reconstruction with f
 ine spatial resolution. Millimeter-wave imaging is typically implemented b
 y means of mechanical or electrical scanning which requires long data acqu
 isition times or a large number of active components. Passive millimeter-w
 ave imaging systems that capture thermal signals and operate similarly to 
 optical cameras are very costly because they need to employ highly sensiti
 ve receivers due to thermal radiation being extremely low power at millime
 ter-wave frequencies. This talk presents a newly developed millimeter-wave
  imaging technique called active incoherent millimeter-wave (AIM) imaging 
 which combines the benefits of active and passive millimeter-wave imaging.
  This approach combines the high signal-to-noise ratio capabilities of act
 ive millimeter-wave imaging systems with the fast image formation potentia
 l of passive millimeter-wave imaging systems. The combination is achieved 
 by illuminating the scene with multiple spatially distributed noise transm
 itters that mimic the randomness of thermal radiation. Starting from our e
 arlier work in microwave frequencies\, I discuss the system design and cal
 ibration approach\, along with an experimental demonstration of a millimet
 er-wave active incoherent digital array. The array can generate millimeter
 -wave video at very high frame rates\, and millimeter-wave imaging results
  include video captured at 652 frames per second of a sphere in pendulum m
 otion. The use of stray reflections from a small set of communication tran
 smitters is also examined\, and incoherent imaging results using WiFi and 
 5G signals are presented.&lt;/p&gt;
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