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
  • [21] Artificial-Noise-Aided Secure Transmit Beamforming for MU-MISO Integrated Sensing and Communication Systems
    Liu, Yutong
    Zhu, Zengbao
    Cui, Qimei
    Duo, Hao
    2024 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS 2024, 2024, : 1219 - 1224
  • [22] Joint Beamforming for RIS-Assisted Integrated Communication, Sensing and Power Transfer Systems
    Yang, Yue
    Gao, Hui
    Yang, Xiaoyu
    Cao, Ruohan
    Fan, Yongjian
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (02) : 288 - 292
  • [23] Joint Secure Transceiver Design for Integrated Sensing and Communication
    He, Boxiang
    Wang, Fanggang
    Cheng, Julian
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (10) : 13377 - 13393
  • [24] Energy Efficient Beamforming Optimization for Integrated Sensing and Communication
    He, Zhenyao
    Xu, Wei
    Shen, Hong
    Huang, Yongming
    Xiao, Huahua
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (07) : 1374 - 1378
  • [25] Secure Downlink Transmission for Integrated Sensing, Energy, and Communication Systems
    Dai, Jianxin
    Liu, Cunzhen
    Pan, Cunhua
    Wang, Kezhi
    IEEE COMMUNICATIONS LETTERS, 2024, 28 (09) : 1996 - 2000
  • [26] Optimal Transmit Beamforming for Secrecy Integrated Sensing and Communication
    Ren, Zixiang
    Qiul, Ling
    Xu, Jie
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 5555 - 5560
  • [27] Deep learning-based Joint Transmit Beamforming for Integrated Sensing and Communication System
    Yang, Ruming
    Zhu, Zhiming
    Zhang, Jiexin
    Xu, Shu
    Li, Chunguo
    Huang, Yongming
    Yang, Luxi
    2024 IEEE 99TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2024-SPRING, 2024,
  • [28] Transmit/Receive Beamforming Design for Joint Radar and Communication Systems
    Hassanien, Aboulnasr
    Himed, Braham
    Amin, Moeness G.
    2018 IEEE RADAR CONFERENCE (RADARCONF18), 2018, : 1481 - 1486
  • [29] Reconfigurable Intelligent Surface-Aided Secure Integrated Radar and Communication Systems
    Zheng, Tong-Xing
    Chen, Xin
    Lan, Lan
    Ju, Ying
    Hu, Xiaoyan
    Liu, Rongke
    Ng, Derrick Wing Kwan
    Cui, Tiejun
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2025, 24 (03) : 1934 - 1948
  • [30] Robust Beamforming Design for RIS-Aided Integrated Sensing and Communication System
    Luan, Mingan
    Wang, Bo
    Chang, Zheng
    Hämäläinen, Timo
    Hu, Fengye
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (06) : 6227 - 6243