Joint Secure Transmit Beamforming Designs for Integrated Sensing and Communication Systems

被引:20
|
作者
Chu, Jinjin [1 ]
Liu, Rang [1 ]
Li, Ming [1 ]
Liu, Yang [1 ]
Liu, Qian [2 ]
机构
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Sch Comp Sci & Technol, Dalian 116024, Peoples R China
基金
中国国家自然科学基金;
关键词
Radar; Interference; Array signal processing; Radar detection; Signal to noise ratio; Communication systems; Sensors; Integrated sensing and communication (ISAC); physical layer security (PLS); multi-user multi-input single-output (MU-MISO); artificial noise (AN); interference exploitation; MIMO RADAR; INTERFERENCE MITIGATION; SURVEILLANCE RADAR; COEXISTENCE; MANAGEMENT;
D O I
10.1109/TVT.2022.3225952
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Integrated sensing and communication (ISAC), which allows individual radar and communication systems to share the same spectrum bands, is an emerging and promising technique for alleviating spectrum congestion problems. In this paper, we investigate how to exploit the inherent interference from strong radar signals to ensure the physical layer security (PLS) for the considered multi-user multi-input single-output (MU-MISO) communication and colocated multi-input multi-output (MIMO) radar coexistence system. In particular, with known eavesdroppers' channel state information (CSI), we propose to jointly design the transmit beamformers of communication and radar systems to minimize the maximum eavesdropping signal-to-interference-plus-noise ratio (SINR) on multiple legitimate users, while guaranteeing the communication quality-of-service (QoS) of legitimate transmissions, the requirement of radar detection performance, and the transmit power constraints of both radar and communication systems. When eavesdroppers' CSI is unavailable, we develop a joint artificial noise (AN)-aided transmit beamforming design scheme, which utilizes residual available power to generate AN for disrupting malicious receptions as well as satisfying the requirements of both legitimate transmissions and radar target detection. Extensive simulations verify the advantages of the proposed joint beamforming designs for ISAC systems on secure transmissions and the effectiveness of the developed algorithms.
引用
收藏
页码:4778 / 4791
页数:14
相关论文
共 50 条
  • [41] RIS-Enhanced Cognitive Integrated Sensing and Communication: Joint Beamforming and Spectrum Sensing
    Xu, Yongqing
    Li, Yong
    Quek, Tony Q. S.
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2025, 43 (03) : 795 - 810
  • [42] Robust Beamforming Design for Integrated Sensing and Covert Communication Systems
    Zhao, Xingyu
    Deng, Weicao
    Li, Min
    Zhao, Min-Jian
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (09) : 2566 - 2570
  • [43] Robust Beamforming for Sensing Assisted Integrated Communication and Jamming Systems
    Gu, Jiangchun
    Ding, Guoru
    Wang, Haichao
    Xu, Yitao
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (10) : 13649 - 13654
  • [44] Beamforming in Hybrid RIS assisted Integrated Sensing and Communication Systems
    Sankar, R. S. Prasobh
    Chepuri, Sundeep Prabhakar
    2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), 2022, : 1082 - 1086
  • [45] Covert Beamforming Design for Integrated Radar Sensing and Communication Systems
    Ma, Shuai
    Sheng, Haihong
    Yang, Ruixin
    Li, Hang
    Wu, Youlong
    Shen, Chao
    Al-Dhahir, Naofal
    Li, Shiyin
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (01) : 718 - 731
  • [46] Beamforming in Integrated Sensing and Communication Systems With Reconfigurable Intelligent Surfaces
    Sankar, R. S. Prasobh
    Chepuri, Sundeep Prabhakar
    Eldar, Yonina C.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (05) : 4017 - 4031
  • [47] Joint Transmit and Receive Beamforming for Integrated Bistatic Radar Sensing and MU-MIMO Communications
    Zhao, Qimin
    Tang, Aimin
    Wang, Xudong
    Liu, Jianguo
    Zhou, Yanni
    Gao, Fei
    2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL, 2023,
  • [48] Joint beamforming design for STAR-RIS-assisted integrated sensing, communication, and power transfer systems
    Huang, Xingxing
    Zhang, Guoping
    Xu, Hongbo
    Wang, Dong
    Li, Kunyu
    Wang, Ze
    DIGITAL SIGNAL PROCESSING, 2025, 156
  • [49] Optimization of Robust and Secure Transmit Beamforming for Dual-Functional MIMO Radar and Communication Systems
    Chen, Zhuochen
    Li, Ximin
    Zhu, Shengqi
    REMOTE SENSING, 2025, 17 (05)
  • [50] Secure Integrated Sensing and Communication
    Gunlu O.
    Bloch M.R.
    Schaefer R.F.
    Yener A.
    IEEE Journal on Selected Areas in Information Theory, 2023, 4 : 40 - 53