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DESCRIPTION:Title: Covert Symbol Embedding via Chirp Signals for Integrated
  Sensing and Communications\n\nAbstract:\nWireless research is increasingl
 y moving toward Integrated Sensing and Communication (ISAC)\, which unifie
 s radar and communication on a shared platform to improve spectral efficie
 ncy and reduce hardware costs. In this talk\, we present a covert communic
 ation framework for Frequency-Modulated Continuous Wave (FMCW) radar syste
 ms that embeds binary symbols directly into the radar chirp. By selectivel
 y activating or suppressing transmissions at predefined time–frequency l
 ocations\, information is encoded without disrupting core radar functional
 ity. A synchronized receiver decodes the embedded bits based on energy det
 ection\, enabling low-overhead control signaling without requiring additio
 nal spectrum. The proposed scheme is compatible with existing FMCW hardwar
 e and introduces a stealthy communication layer with minimal impact on ran
 ge estimation and resolution. Analytical and simulation results demonstrat
 e reliable bit recovery\, and a USRP-based software-defined radar prototyp
 e validates feasibility under practical SNR conditions. This work highligh
 ts covert embedding as a lightweight pathway toward practical ISAC systems
  for automotive\, defense\, and IoT applications\n\nBio: Shiwen Mao is a P
 rofessor and Earle C. Williams Eminent Scholar and Director of the Wireles
 s Engineering Research and Education Center at Auburn University\, Auburn\
 , AL\, USA. Dr. Mao&#39;s research interest includes wireless networks\, RF se
 nsing and IoT\, smart health\, and machine learning. He is the editor-in-c
 hief of IEEE Transactions on Cognitive Communications and Networking\, an 
 Associate Editor-in-Chief of IEEE Internet of Things Journal\, a Deputy Ed
 itor-in-Chief of IEEE Transactions on Multimedia\, a member-at-large on th
 e Board of Governors of IEEE Communications Society\, and Vice President o
 f Technical Activities of IEEE Council on Radio Frequency Identification (
 CRFID). He was the General Chair of IEEE INFOCOM 2022\, a TPC Chair of IEE
 E INFOCOM 2018\, and a TPC Vice-Chair of IEEE GLOBECOM 2022. He is a co-re
 cipient of several technical and service awards from the IEEE\, and a Fell
 ow of the IEEE in the Class of 2019.\n\nCo-sponsored by: IEEE ANU SPS SBC\
 n\nRoom: 2.02\, Bldg: Birch Building\, The Australian National University 
 \, 35 Science Road\, Acton\, Australian Capital Territory\, Australia\, 26
 01
LOCATION:Room: 2.02\, Bldg: Birch Building\, The Australian National Univer
 sity \, 35 Science Road\, Acton\, Australian Capital Territory\, Australia
 \, 2601
ORGANIZER:Ambarish.natu@gmail.com
SEQUENCE:13
SUMMARY:Covert Symbol Embedding via Chirp Signals for Integrated Sensing an
 d Communications
URL;VALUE=URI:https://events.vtools.ieee.org/m/572417
X-ALT-DESC:Description: &lt;br /&gt;&lt;div data-originalfontsize=&quot;12pt&quot; data-origin
 alcomputedfontsize=&quot;16&quot;&gt;Title: Covert Symbol Embedding via Chirp Signals f
 or Integrated Sensing and Communications&lt;/div&gt;\n&lt;div&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div d
 ata-originalfontsize=&quot;12pt&quot; data-originalcomputedfontsize=&quot;16&quot;&gt;Abstract:&amp;n
 bsp\;&lt;/div&gt;\n&lt;div data-originalfontsize=&quot;12pt&quot; data-originalcomputedfontsi
 ze=&quot;16&quot;&gt;Wireless research is increasingly moving toward Integrated Sensing
  and Communication (ISAC)\, which unifies radar and communication on a sha
 red platform to improve spectral efficiency and reduce hardware costs. In 
 this talk\, we present a covert communication framework for Frequency-Modu
 lated Continuous Wave (FMCW) radar systems that embeds binary symbols dire
 ctly into the radar chirp. By selectively activating or suppressing transm
 issions at predefined time&amp;ndash\;frequency locations\, information is enc
 oded without disrupting core radar functionality. A synchronized receiver 
 decodes the embedded bits based on energy detection\, enabling low-overhea
 d control signaling without requiring additional spectrum. The proposed sc
 heme is compatible with existing FMCW hardware and introduces a stealthy c
 ommunication layer with minimal impact on range estimation and resolution.
  Analytical and simulation results demonstrate reliable bit recovery\, and
  a USRP-based software-defined radar prototype validates feasibility under
  practical SNR conditions. This work highlights covert embedding as a ligh
 tweight pathway toward practical ISAC systems for automotive\, defense\, a
 nd IoT applications&lt;br&gt;&lt;br&gt;&lt;/div&gt;\n&lt;div data-originalfontsize=&quot;12pt&quot; data-
 originalcomputedfontsize=&quot;16&quot;&gt;Bio: &lt;span class=&quot;term-highlighted&quot;&gt;Shiwen&lt;/
 span&gt; Mao is a Professor and Earle C. Williams Eminent Scholar and Directo
 r of the Wireless Engineering Research and Education Center at Auburn Univ
 ersity\, Auburn\, AL\, USA. Dr. Mao&#39;s research interest includes wireless 
 networks\, RF sensing and IoT\, smart health\, and machine learning. He is
  the editor-in-chief of IEEE Transactions on Cognitive Communications and 
 Networking\, an Associate Editor-in-Chief of IEEE Internet of Things Journ
 al\, a Deputy Editor-in-Chief of IEEE Transactions on Multimedia\, a membe
 r-at-large on the Board of Governors of IEEE Communications Society\, and 
 Vice President of Technical Activities of IEEE Council on Radio Frequency 
 Identification (CRFID). He was the General Chair of IEEE INFOCOM 2022\, a 
 TPC Chair of IEEE INFOCOM 2018\, and a TPC Vice-Chair of IEEE GLOBECOM 202
 2. He is a co-recipient of several technical and service awards from the I
 EEE\, and a Fellow of the IEEE in the Class of 2019.&amp;nbsp\;&lt;br&gt;&lt;br&gt;&lt;/div&gt;\
 n&lt;div data-originalfontsize=&quot;12pt&quot; data-originalcomputedfontsize=&quot;16&quot;&gt;&amp;nbs
 p\;&lt;/div&gt;\n&lt;div data-originalfontsize=&quot;12pt&quot; data-originalcomputedfontsize
 =&quot;16&quot;&gt;&amp;nbsp\;&lt;/div&gt;
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