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DTSTART:20220313T030000
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DTSTAMP:20220616T194406Z
UID:5840C12F-AC48-4252-93F9-7E6508408AA0
DTSTART;TZID=America/New_York:20220608T080000
DTEND;TZID=America/New_York:20220608T170000
DESCRIPTION:The second edition of the High-Fidelity RF Modeling and Simulat
 ion Workshop will cover a wide range of topics related to state-of-the-art
  modeling of RF clutter and targets along with a real-time demonstration o
 f RF modeling and simulation (M&amp;S) tools. With increasing developmental fl
 ight testing and the shortage of representative data sets\, it is critical
  to develop and use high-fidelity site-specific M&amp;S tools to undertake a p
 erformance assessment of candidate radar signal processing algorithms in a
  representative environment. The tools discussed in the workshop can be us
 ed to model various scenarios like SAR\, GMTI\, and communications. As par
 t of the inaugural edition of the workshop held in 2020\, challenge datase
 ts were distributed to the community. In this year&#39;s workshop\, several us
 ers will present their results using the aforementioned datasets as well a
 s the M&amp;S tools. A wide array of RF applications will be covered during th
 is workshop. Please join us to learn and discuss the latest advances in th
 e field of high-fidelity site-specific RF M&amp;S. All workshop discussions wi
 ll be Distribution A (Approved for public release with unlimited distribut
 ion). There is no cost for attending the workshop. Interested participants
  are requested to email the Technical Co-Chairs to receive the meeting zoo
 m link.\n\n- Dr. Sandeep Gogineni sgogineni@islinc.com\n- Dr. Bosung Kang 
 Bosung.Kang@udri.udayton.edu\n\nhttps://www.wright.edu/autonomy-technology
 -research-center/events\n\nCo-sponsored by: Autonomy Technology Research (
 ATR) Center Summer Program\n\nAgenda: \nTOPICS COVERED:\n\n- Cognitive Ful
 ly Adaptive Radar (CoFAR) and the need for high-fidelity M&amp;S tools\n- Rece
 nt advances in site-specific RF clutter (land and ocean) models and their 
 comparison with traditional approximate statistical models\n- Application 
 of the state-of-the-art M&amp;S tools for RF applications\n- User presentation
 s on previously distributed challenge radar datasets\n- New challenge data
 sets\n\nVirtual: https://events.vtools.ieee.org/m/315230
LOCATION:Virtual: https://events.vtools.ieee.org/m/315230
ORGANIZER:holly.zelnio@ieee.org
SEQUENCE:9
SUMMARY:2nd High Fidelity RF Modeling and Simulation Workshop
URL;VALUE=URI:https://events.vtools.ieee.org/m/315230
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The second edition of the High-Fidelity RF
  Modeling and Simulation Workshop will cover a wide range of topics relate
 d to state-of-the-art modeling of RF clutter and targets along with a real
 -time demonstration of RF modeling and simulation (M&amp;amp\;S) tools. With i
 ncreasing developmental flight testing and the shortage of representative 
 data sets\, it is critical to develop and use high-fidelity site-specific 
 M&amp;amp\;S tools to undertake a performance assessment of candidate radar si
 gnal processing algorithms in a representative environment. The tools disc
 ussed in the workshop can be used to model various scenarios like SAR\, GM
 TI\, and communications. As part of the inaugural edition of the workshop 
 held in 2020\, challenge datasets were distributed to the community. In th
 is year&#39;s workshop\, several users will present their results using the af
 orementioned datasets as well as the M&amp;amp\;S tools. A wide array of RF ap
 plications will be covered during this workshop. Please join us to learn a
 nd discuss the latest advances in the field of high-fidelity site-specific
  RF M&amp;amp\;S. All workshop discussions will be Distribution A (Approved fo
 r public release &amp;nbsp\;with unlimited distribution). There is no cost for
  attending the workshop. Interested participants are requested to email th
 e Technical Co-Chairs to receive the meeting zoom link.&amp;nbsp\;&lt;/p&gt;\n&lt;ul&gt;\n
 &lt;li&gt;Dr. Sandeep Gogineni&amp;nbsp\;&lt;a href=&quot;mailto:sgogineni@islinc.com&quot;&gt;sgogi
 neni@islinc.com&lt;/a&gt;&lt;/li&gt;\n&lt;li&gt;Dr. Bosung Kang&amp;nbsp\;&lt;a href=&quot;mailto:Bosung
 .Kang@udri.udayton.edu&quot;&gt;Bosung.Kang@udri.udayton.edu&lt;/a&gt;&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;h
 ttps://www.wright.edu/autonomy-technology-research-center/events&lt;/p&gt;&lt;br /&gt;
 &lt;br /&gt;Agenda: &lt;br /&gt;&lt;h4&gt;TOPICS COVERED:&lt;/h4&gt;\n&lt;ul&gt;\n&lt;li&gt;Cognitive Fully Ad
 aptive Radar (CoFAR) and the need for high-fidelity M&amp;amp\;S tools&lt;/li&gt;\n&lt;
 li&gt;Recent advances in site-specific RF clutter (land and ocean)&amp;nbsp\;mode
 ls and their comparison with traditional approximate statistical models&lt;/l
 i&gt;\n&lt;li&gt;Application of the state-of-the-art M&amp;amp\;S tools for RF applicat
 ions&lt;/li&gt;\n&lt;li&gt;User presentations on previously distributed challenge rada
 r datasets&lt;/li&gt;\n&lt;li&gt;New challenge datasets&lt;/li&gt;\n&lt;/ul&gt;
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