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author:

Hu, J. (Hu, J..) [1] (Scholars:胡锦松) | Lin, Q. (Lin, Q..) [2] | Yan, S. (Yan, S..) [3] | Zhou, X. (Zhou, X..) [4] | Chen, Y. (Chen, Y..) [5] (Scholars:陈由甲) | Shu, F. (Shu, F..) [6]

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Scopus

Abstract:

Integrated Sensing and Communication (ISAC) Systems, which can support simultaneous information transmission and target detection, have been regarded as promising solutions for various emerging wireless network applications. In this work, a covert transmission system with the aid of the ISAC technique is proposed, where the radar intends to sense a target and send message to legitimate users covertly against the warden's surveillance with either perfect or imperfect channel state information (CSI) at the warden. We formulate a beamforming optimization problem for the dual-function signal used for sensing and communication to maximize the covert throughput, subject to a covertness constraint, a maximum transmit power constraint, and a radar detection constraint. We then determine the sufficient conditions under which the covert beamforming design problem can be solved by semidefinite relaxation (SDR). Numerical results show that the proposed covert ISAC system can guarantee covert transmission while ensuring a certain level of sensing performance, and there exists a performance trade-off between the considered radar detection and covert transmission. IEEE

Keyword:

Array signal processing beamforming design Covert communications integrated sensing and communication Object detection Radar Radar antennas Radar detection Receivers Sensors

Community:

  • [ 1 ] [Hu J.]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Lin Q.]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Yan S.]School of Science and Security Research Institute, Edith Cowan University, Perth, WA, Australia
  • [ 4 ] [Zhou X.]Institute of Intelligent Agriculture, Anhui Agricultural University, Hefei, China
  • [ 5 ] [Chen Y.]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 6 ] [Shu F.]School of Information and Communication Engineering, Hainan University, Haikou, China

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Source :

IEEE Transactions on Vehicular Technology

ISSN: 0018-9545

Year: 2023

Page: 1-6

6 . 1

JCR@2023

6 . 1 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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