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DTSTAMP:20220426T111126Z
UID:5C550758-B676-496C-9EE2-F18C776DBF85
DTSTART;TZID=Australia/Adelaide:20220426T193000
DTEND;TZID=Australia/Adelaide:20220426T203000
DESCRIPTION:Dear IEEE members and guests\,\n\nThe next IEEE Control\, Aeros
 pace and Electronic Systems (CAES) seminar will be on Tuesday\, 26th April
 \, 2022 at 7:30 pm (Adelaide time).\n\nThe speaker is Sergey Simakov\, Def
 ence\, from Science and Technology Group\, he will be presenting a seminar
  on:\n\nOn the utility of probability of detection and clutter maps in son
 ar signal processing\n\nPlease aim to join the WebEx meeting beforehand\, 
 so we can start on time.\n\nhttps://ieeemeetings.webex.com/ieeemeetings/j.
 php?MTID=mc941982b175f0180df42ed014c603abf\n\nWebinar number (access code)
 : 2530 162 4238\nWebinar password: bQUDwDVU788 (27839388 from phones)\nAls
 o\, please check out the IEEE SA Section website: [https://r10.ieee.org/sa
 us/](http://enotice.ieee.org/link.cfm?r=wh8D9f-42CWIJh06mx-qQA~~&amp;pe=AjPHX9
 MbvUBBl1fZaEz46wB0qKJeozWRYewhpQLphCWJzDxJcPukb9UMIq4gAuid3xab-ELM5eBYySfa
 9t-LIg~~&amp;t=3JtpPGVHyDjceGi0FNbGJw~~)\n\nRegards\n\nWaddah Al-Ashwal\n\nIEE
 E SA CAES Chapter Chair\n\nOn the utility of probability of detection and 
 clutter maps in sonar signal processing\n\nProbability of detection (PD) i
 s employed in a range of sonar signal processing applications including de
 cision making in multistatic detection\, tracking\, ping sequencing and pl
 anning signal acquisition. In this work we mostly deal with PD and clutter
  maps produced through signal processing of simulated sonar time series. T
 he simulation is carried out using the Sonar Simulation Toolset (SST). In 
 the considered method\, the probability of detection is obtained from simu
 lated echo values and parametric analysis of the clutter distribution in e
 ach detection cell. This analysis is based on ensemble averaging and fitti
 ng to a Rician probability density function. We’ll summarise the adopted
  computational scheme and discuss some of its technical aspects that allow
 ed us to accelerate the computation and reduce memory demands. We’ll als
 o illustrate\, using examples with both the simulated and real data\, how 
 the clutter maps can be utilised in sonar signal processing as components 
 of a detection statistic in order to improve the discrimination of the ech
 o from the clutter.\n\nSpeaker: Sergey Simakov\n\nSergey Simakov received 
 Ph.D degree in mathematical physics from Moscow State University in 1990. 
 He moved to Australia in 1995. Between 1995 and 2002\, he worked with The 
 University of Adelaide\, University of South Australia and the Centre for 
 Sensor Signal and Information Processing (CSSIP). Sergey has been working 
 in the Maritime Division (MD) since August 2002 and contributed to a numbe
 r of MD projects and bi &amp; multi-lateral efforts . Sergey’s research focu
 ses on signal processing and performance prediction of multistatic sonars.
 \n\nVirtual: https://events.vtools.ieee.org/m/311855
LOCATION:Virtual: https://events.vtools.ieee.org/m/311855
ORGANIZER:luke.rosenberg@ieee.org
SEQUENCE:3
SUMMARY:On the utility of probability of detection and clutter maps in sona
 r signal processing
URL;VALUE=URI:https://events.vtools.ieee.org/m/311855
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Dear IEEE members and guests\,&lt;/p&gt;\n&lt;p&gt;The
  next IEEE Control\, Aerospace and Electronic Systems (CAES) seminar will 
 be on Tuesday\, 26&lt;sup&gt;th&lt;/sup&gt; April\, 2022 at 7:30 pm (Adelaide time).&lt;/
 p&gt;\n&lt;p&gt;The speaker is Sergey Simakov\, Defence\, from Science and Technolo
 gy Group\, he will be presenting a seminar on:&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;On the util
 ity of probability of detection and clutter maps in sonar signal processin
 g&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Please aim to join the WebEx meeting be
 forehand\, so we can start on time.&amp;nbsp\;&lt;/p&gt;\n&lt;table&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;t
 d&gt;&lt;a href=&quot;https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=mc941982
 b175f0180df42ed014c603abf&quot; rel=&quot;noreferrer&quot;&gt;https://ieeemeetings.webex.com
 /ieeemeetings/j.php?MTID=mc941982b175f0180df42ed014c603abf&lt;/a&gt;&lt;/td&gt;\n&lt;/tr&gt;
 \n&lt;/tbody&gt;\n&lt;/table&gt;\n&lt;table&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td&gt;&amp;nbsp\;&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/t
 body&gt;\n&lt;/table&gt;\n&lt;table&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td&gt;Webinar number (access code):
  2530 162 4238&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;\n&lt;table&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;t
 d&gt;Webinar password: bQUDwDVU788 (27839388 from phones)&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbod
 y&gt;\n&lt;/table&gt;\n&lt;p&gt;Also\, please check out the IEEE SA Section website: &lt;a h
 ref=&quot;http://enotice.ieee.org/link.cfm?r=wh8D9f-42CWIJh06mx-qQA~~&amp;amp\;pe=A
 jPHX9MbvUBBl1fZaEz46wB0qKJeozWRYewhpQLphCWJzDxJcPukb9UMIq4gAuid3xab-ELM5eB
 YySfa9t-LIg~~&amp;amp\;t=3JtpPGVHyDjceGi0FNbGJw~~&quot;&gt;https://r10.ieee.org/saus/&lt;
 /a&gt;&lt;/p&gt;\n&lt;p&gt;Regards&lt;/p&gt;\n&lt;p&gt;Waddah Al-Ashwal&lt;/p&gt;\n&lt;p&gt;IEEE SA CAES Chapter 
 Chair&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;On the utility of probability of det
 ection and clutter maps in sonar signal processing&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Probab
 ility of detection (PD) is employed in a range of sonar signal processing 
 applications including decision making in multistatic detection\, tracking
 \, ping sequencing and planning signal acquisition. In this work we mostly
  deal with PD and clutter maps produced through signal processing of simul
 ated sonar time series. The simulation is carried out using the Sonar Simu
 lation Toolset (SST). In the considered method\, the probability of detect
 ion is obtained from simulated echo values and parametric analysis of the 
 clutter distribution in each detection cell. This analysis is based on ens
 emble averaging and fitting to a Rician probability density function. We&amp;r
 squo\;ll summarise the adopted computational scheme and discuss some of it
 s technical aspects that allowed us to accelerate the computation and redu
 ce memory demands. We&amp;rsquo\;ll also illustrate\, using examples with both
  the simulated and real data\, how the clutter maps can be utilised in son
 ar signal processing as components of a detection statistic in order to im
 prove the discrimination of the echo from the clutter.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
 \n&lt;p&gt;&lt;strong&gt;Speaker:&amp;nbsp\; Sergey Simakov&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Sergey&amp;nbsp\;
 Simakov received Ph.D degree in mathematical physics from Moscow State Uni
 versity in 1990. He moved to Australia in 1995. Between 1995 and 2002\, he
  worked with The University of Adelaide\, University of South Australia an
 d the Centre for Sensor Signal and Information Processing (CSSIP). Sergey&amp;
 nbsp\;has been working in the Maritime Division (MD) since August 2002 and
  contributed to a number of MD projects and bi &amp;amp\; multi-lateral effort
 s . Sergey&amp;rsquo\;s research focuses on signal processing and performance 
 prediction of multistatic sonars.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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