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DTSTART:20261004T030000
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DTSTAMP:20260820T002411Z
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DTSTART;TZID=Australia/Adelaide:20260930T180000
DTEND;TZID=Australia/Adelaide:20260930T193000
DESCRIPTION:The IEEE South Australia Section Communications and Signal Proc
 essing (CSP) Chapter would like to invite you to a technical seminar on We
 dnesday\, 30 September 2026\, presented by Professor Shiwen Mao\, Professo
 r\, Earle C. Williams Eminent Scholar\, and Director of the Wireless Engin
 eering Research and Education Center at Auburn University\, Auburn\, AL\, 
 USA.\n\nThe talk\, titled “Covert Symbol Embedding via Chirp Signals for
  Integrated Sensing and Communications\,” will commence at 6:00 pm (Adel
 aide time).\n\nAbstract:\n\nWireless research is increasingly moving towar
 d Integrated Sensing and Communication (ISAC)\, which unifies radar and co
 mmunication on a shared platform to improve spectral efficiency and reduce
  hardware costs. In this talk\, we present a covert communication framewor
 k for Frequency-Modulated Continuous Wave (FMCW) radar systems that embeds
  binary symbols directly into the radar chirp. By selectively activating o
 r suppressing transmissions at predefined time-frequency locations\, infor
 mation is encoded without disrupting core radar functionality. A synchroni
 zed receiver decodes the embedded bits based on energy detection\, enablin
 g low-overhead control signaling without requiring additional spectrum. Th
 e proposed scheme is compatible with existing FMCW hardware and introduces
  a stealthy communication layer with minimal impact on range estimation an
 d resolution. Analytical and simulation results demonstrate reliable bit r
 ecovery\, and a USRP-based software-defined radar prototype validates feas
 ibility under practical SNR conditions. This work highlights covert embedd
 ing as a lightweight pathway toward practical ISAC systems for automotive\
 , defense\, and IoT applications.\n\nSpeaker(s): Prof. Mao\n\nRoom: N158 C
 hapman lecture theatre\, Bldg: Engineering North\, Adelaide University\, C
 ity East Campus\, Adelaide\, South Australia\, Australia
LOCATION:Room: N158 Chapman lecture theatre\, Bldg: Engineering North\, Ade
 laide University\, City East Campus\, Adelaide\, South Australia\, Austral
 ia
ORGANIZER:siuwai.ho@adelaide.edu.au
SEQUENCE:125
SUMMARY:IEEE CSP Talk: Communications Society Distinguished Lecture on Cove
 rt Symbol Embedding via Chirp Signals for Integrated Sensing and Communica
 tions
URL;VALUE=URI:https://events.vtools.ieee.org/m/573361
X-ALT-DESC:Description: <br /><p class="MsoNormal">The IEEE South Australia
  Section Communications and Signal Processing (CSP) Chapter would like to 
 invite you to a technical seminar on <strong>Wednesday\, 30 September 2026
 </strong>\, presented by Professor Shiwen Mao\, Professor\, Earle C. Willi
 ams Eminent Scholar\, and Director of the Wireless Engineering Research an
 d Education Center at Auburn University\, Auburn\, AL\, USA.</p>\n<p class
 ="MsoNormal">The talk\, titled <strong>&ldquo\;Covert Symbol Embedding via
  Chirp Signals for Integrated Sensing and Communications\,&rdquo\;</strong
 > will commence at <strong>6:00 pm (Adelaide time)</strong>.</p>\n<p class
 ="MsoNormal"><strong>Abstract:</strong></p>\n<p class="MsoNormal">Wireless
  research is increasingly moving toward Integrated Sensing and Communicati
 on (ISAC)\, which unifies radar and communication on a shared platform to 
 improve spectral efficiency and reduce hardware costs. In this talk\, we p
 resent a covert communication framework for Frequency-Modulated Continuous
  Wave (FMCW) radar systems that embeds binary symbols directly into the ra
 dar chirp. By selectively activating or suppressing transmissions at prede
 fined time-frequency locations\, information is encoded without disrupting
  core radar functionality. A synchronized receiver decodes the embedded bi
 ts based on energy detection\, enabling low-overhead control signaling wit
 hout requiring additional spectrum. The proposed scheme is compatible with
  existing FMCW hardware and introduces a stealthy communication layer with
  minimal impact on range estimation and resolution. Analytical and simulat
 ion results demonstrate reliable bit recovery\, and a USRP-based software-
 defined radar prototype validates feasibility under practical SNR conditio
 ns. This work highlights covert embedding as a lightweight pathway toward 
 practical ISAC systems for automotive\, defense\, and IoT applications.</p
 >\n<p class="MsoNormal">&nbsp\;</p>
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