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PRODID:IEEE vTools.Events//EN
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DTSTART:20200308T030000
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DTSTART:20201101T010000
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BEGIN:VEVENT
DTSTAMP:20200923T194010Z
UID:6E93CA70-7EA6-486B-B25F-79F1D39AC9FE
DTSTART;TZID=Canada/Eastern:20200924T090000
DTEND;TZID=Canada/Eastern:20200924T100000
DESCRIPTION:Nowadays the increasing use of remote-controlled mini drones ha
 s become a real threat to the air traffic management. They may be misused 
 for criminal acts or even terrorist attacks\, and pose serious threats for
  the public security. Thus\, accurate detection and classification of mini
  drones are highly essential and critical. Comparing to other types of sen
 sors\, radars show superior performance for their wide\, long-range and ra
 pid surveillance capabilities in all weather conditions\, which are theref
 ore widely adopted as an effective sensor to detect the drones. It is well
  known that the micro-Doppler signatures generated by the drones’ rotati
 ng blades have been popularly used for the drone detection and classificat
 ion in many literatures. However\, the behaviors of micro-Doppler of drone
 s vary significantly for different radar operating modes. It may not be ea
 sy to capture the micro-Doppler signatures of drone in the real scenarios.
  This talk addresses the practical issues for drone detection as well as t
 he suitable radar-based solutions for countering the drone’s threat in u
 rban environment.\n\nCo-sponsored by: IEEE AESS:  Virtual AESS DL Series\n
 \nSpeaker(s): Dr. Hongbo Sun\, \n\nVirtual: https://events.vtools.ieee.org
 /m/240830
LOCATION:Virtual: https://events.vtools.ieee.org/m/240830
ORGANIZER:sreeraman@ieee.org
SEQUENCE:0
SUMMARY:Countering the Drone’s Threat by Radar – Technical Challenges a
 nd Perspectives
URL;VALUE=URI:https://events.vtools.ieee.org/m/240830
X-ALT-DESC:Description: <br /><h4>Nowadays the increasing use of remote-con
 trolled mini drones has become a real threat to the air traffic management
 . They may be misused for criminal acts or even terrorist attacks\, and po
 se serious threats for the public security. Thus\, accurate detection and 
 classification of mini drones are highly essential and critical. Comparing
  to other types of sensors\, radars show superior performance for their wi
 de\, long-range and rapid surveillance capabilities in all weather conditi
 ons\, which are therefore widely adopted as an effective sensor to detect 
 the drones. It is well known that the micro-Doppler signatures generated b
 y the drones&rsquo\; rotating blades have been popularly used for the dron
 e detection and classification in many literatures. However\, the behavior
 s of micro-Doppler of drones vary significantly for different radar operat
 ing modes. It may not be easy to capture the micro-Doppler signatures of d
 rone in the real scenarios. This talk addresses the practical issues for d
 rone detection as well as the suitable radar-based solutions for counterin
 g the drone&rsquo\;s threat in urban environment.&nbsp\;</h4>
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