BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Australia/Adelaide
BEGIN:DAYLIGHT
DTSTART:20221002T030000
TZOFFSETFROM:+0930
TZOFFSETTO:+1030
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10
TZNAME:ACDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20230402T020000
TZOFFSETFROM:+1030
TZOFFSETTO:+0930
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4
TZNAME:ACST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20221115T103332Z
UID:33FC8440-D431-4F9F-B3EB-3E17E2172DDA
DTSTART;TZID=Australia/Adelaide:20221114T193000
DTEND;TZID=Australia/Adelaide:20221114T203000
DESCRIPTION:Realistic simulation of radar sea clutter is extremely importan
 t to stimulate radar processors during development and testing\, generate 
 realistic displays in radar trainers\, and evaluate radar detection algori
 thms. A simulated signal must reproduce as faithfully as possible the stat
 istical characteristics that are present in real data\, including the mean
  backscatter\, amplitude statistics\, short-term temporal correlation (inc
 luding that represented by the Doppler spectra)\, and any spatial or longe
 r-term temporal variations. It must also reflect the chosen radar paramete
 rs\, collection geometry\, and model the effect of platform motion if the 
 data is being collected by an airborne radar system. This talk will descri
 be a number of approaches for generating hi-fidelity radar sea clutter usi
 ng statistical models and demonstrate how they compare against data collec
 ted from both ground and airborne platforms.\n\nSpeaker(s): Luke Rosenberg
 \, \n\nVirtual: https://events.vtools.ieee.org/m/331170
LOCATION:Virtual: https://events.vtools.ieee.org/m/331170
ORGANIZER:waashwal@ieee.org
SEQUENCE:2
SUMMARY:2022 AESS Virtual Distinguished Lecturer Series: Luke Rosenberg - S
 imulation of Radar Sea Clutter
URL;VALUE=URI:https://events.vtools.ieee.org/m/331170
X-ALT-DESC:Description: <br /><p>Realistic simulation of radar sea clutter 
 is extremely important to stimulate radar processors during development an
 d testing\, generate realistic displays in radar trainers\, and evaluate r
 adar detection algorithms. A simulated signal must reproduce as faithfully
  as possible the statistical characteristics that are present in real data
 \, including the mean backscatter\, amplitude statistics\, short-term temp
 oral correlation (including that represented by the Doppler spectra)\, and
  any spatial or longer-term temporal variations. It must also reflect the 
 chosen radar parameters\, collection geometry\, and model the effect of pl
 atform motion if the data is being collected by an airborne radar system. 
 This talk will describe a number of approaches for generating hi-fidelity 
 radar sea clutter using statistical models and demonstrate how they compar
 e against data collected from both ground and airborne platforms.</p>
END:VEVENT
END:VCALENDAR