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DTSTART:20251005T030000
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DTSTART:20260405T020000
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DTSTAMP:20251208T010524Z
UID:E8EBE54D-00E4-4DCE-93C1-BA3FF0EEF0BC
DTSTART;TZID=Australia/Melbourne:20251127T173000
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DESCRIPTION:The newly formed Victorian Chapter of the IEEE Aerospace and El
 ectronics Systems Society (AESS)\, in collaboration with RMIT University\,
  is pleased invite you to our chapter launch\, and inaugural talk by Disti
 nguished Lecturer Dr Luke Rosenburg (FIEEE). This will provide an excellen
 t opportunity to meet and greet other chapter members\, in addition to fac
 ulty members from RMIT University&#39;s Space Communications Group.\n\nLecture
  Topic:\n\nDetection in the maritime domain requires the radar return from
  targets to be distinguishable from the background interference. These rad
 ars traditionally use non-coherent processing due to the time-varying and 
 range-varying nature of the Doppler spectra. However\, as radar platforms 
 fly higher and look down at steeper angles\, the sea clutter power will in
 crease and traditional methods will not be as effective. This talk covers 
 several new approaches for target detection in the maritime domain. These 
 include the use of sparse signal separation algorithms\, including diction
 ary learning\, two machine learning algorithms and the application of the 
 single snapshot coherent detector. Each of these techniques is demonstrate
 d using either real or realistic simulated sea clutter and shows good pote
 ntial when compared to traditional processing methods.\n\nCo-sponsored by:
  RMIT University - Space Communications Group\n\nSpeaker(s): \, Luke\n\nRo
 om: 12\, Bldg: Building 80 Level 5\, RMIT Melbourne City Campus\, Swanston
  Street\, Melbourne\, Victoria\, Australia\, 3000\, Virtual: https://event
 s.vtools.ieee.org/m/512505
LOCATION:Room: 12\, Bldg: Building 80 Level 5\, RMIT Melbourne City Campus\
 , Swanston Street\, Melbourne\, Victoria\, Australia\, 3000\, Virtual: htt
 ps://events.vtools.ieee.org/m/512505
ORGANIZER:thabo.mohanakumar@outlook.com
SEQUENCE:61
SUMMARY:New Concepts in Maritime Detection
URL;VALUE=URI:https://events.vtools.ieee.org/m/512505
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot; style=&quot;text-align: justi
 fy\;&quot;&gt;&lt;span style=&quot;font-family: tahoma\, arial\, helvetica\, sans-serif\; 
 font-size: 12pt\;&quot;&gt;The newly formed Victorian Chapter of the IEEE Aerospac
 e and Electronics Systems Society (AESS)\, in collaboration with RMIT Univ
 ersity\, is pleased invite you to our chapter launch\, and inaugural talk 
 by Distinguished Lecturer Dr Luke Rosenburg (FIEEE). This will provide an 
 excellent opportunity to meet and greet other chapter members\, in additio
 n to faculty members from RMIT University&#39;s Space Communications Group.&amp;nb
 sp\;&lt;span style=&quot;font-family: Times New Roman\, serif\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/s
 pan&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;text-align: justify\;&quot;&gt;&lt;span style=&quot;
 text-decoration: underline\;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-family: tahoma\, a
 rial\, helvetica\, sans-serif\; font-size: 12pt\;&quot;&gt;Lecture Topic:&lt;/span&gt;&lt;/
 strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;text-align: justify\;&quot;&gt;&lt;sp
 an style=&quot;font-family: tahoma\, arial\, helvetica\, sans-serif\; font-size
 : 12pt\;&quot;&gt;Detection in the maritime domain requires the radar return from 
 targets to be distinguishable from the background interference. These rada
 rs traditionally use non-coherent processing due to the time-varying and r
 ange-varying nature of the Doppler spectra. However\, as radar platforms f
 ly higher and look down at steeper angles\, the sea clutter power will inc
 rease and traditional methods will not be as effective. This talk covers s
 everal new approaches for target detection in the maritime domain. These i
 nclude the use of sparse signal separation algorithms\, including dictiona
 ry learning\, two machine learning algorithms and the application of the s
 ingle snapshot coherent detector. Each of these techniques is demonstrated
  using either real or realistic simulated sea clutter and shows good poten
 tial when compared to traditional processing methods.&lt;/span&gt;&lt;/p&gt;
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