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DTSTAMP:20260420T104751Z
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DTSTART;TZID=Europe/London:20260415T090000
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DESCRIPTION:The ASPIRE focus group invites dynamic and forward-looking cont
 ributions that push the boundaries of signal processing for radar sensing 
 and electronic warfare\, enhancing detection\, estimation\, imaging\, clas
 sification and overall system performance. We welcome submissions spanning
  short- to long-range surveillance\, automotive and autonomous sensing\, S
 AR/ISAR and other imaging modalities\, multifunction and MIMO radars\, pas
 sive systems and emerging radar concepts\, alongside EW sensing and counte
 rmeasure technologies. Innovations in statistical and adaptive processing\
 , sparse and compressive methods\, machine learning\, optimisation\, time-
 frequency analysis\, and low-SWaP\, sensor-fusion and resource-management 
 solutions are especially encouraged.\n\nBldg: The Ramshorn\, University of
  Strathclyde\, 98 Ingram Street\, Glasgow\, Scotland\, United Kingdom\, G1
  1EX
LOCATION:Bldg: The Ramshorn\, University of Strathclyde\, 98 Ingram Street\
 , Glasgow\, Scotland\, United Kingdom\, G1 1EX
ORGANIZER:carmine.clemente@strath.ac.uk
SEQUENCE:15
SUMMARY: Advanced Signal Processing in Radar & Electronic Warfare
URL;VALUE=URI:https://events.vtools.ieee.org/m/536504
X-ALT-DESC:Description: <br /><p><span data-olk-copy-source="MessageBody">T
 he ASPIRE focus group invites dynamic and forward-looking contributions th
 at push the boundaries of signal processing for radar sensing and electron
 ic warfare\, enhancing detection\, estimation\, imaging\, classification a
 nd overall system performance. We welcome submissions spanning short- to l
 ong-range surveillance\, automotive and autonomous sensing\, SAR/ISAR and 
 other imaging modalities\, multifunction and MIMO radars\, passive systems
  and emerging radar concepts\, alongside EW sensing and countermeasure tec
 hnologies. Innovations in statistical and adaptive processing\, sparse and
  compressive methods\, machine learning\, optimisation\, time-frequency an
 alysis\, and low-SWaP\, sensor-fusion and resource-management solutions ar
 e especially encouraged.</span></p>
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