Joint Secure Transmit Beamforming Designs for Integrated Sensing and Communication Systems

被引:29
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
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[41]   Optimum Co-Design of Spectrum Sharing Between MIMO Radar and MIMO Communication Systems: An Interference Alignment Approach [J].
Rihan, Mohamed ;
Huang, Lei .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (12) :11667-11680
[42]   Fractional Programming for Communication Systems-Part I: Power Control and Beamforming [J].
Shen, Kaiming ;
Yu, Wei .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (10) :2616-2630
[43]  
Sodagari S, 2012, IEEE GLOB COMM CONF, P5010, DOI 10.1109/GLOCOM.2012.6503914
[44]   MAXIMUM-LIKELIHOOD METHODS FOR DIRECTION-OF-ARRIVAL ESTIMATION [J].
STOICA, P ;
SHARMAN, KC .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1990, 38 (07) :1132-1143
[45]   Secure Dual-Functional Radar-Communication Transmission: Exploiting Interference for Resilience Against Target Eavesdropping [J].
Su, Nanchi ;
Liu, Fan ;
Wei, Zhongxiang ;
Liu, Ya-Feng ;
Masouros, Christos .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2022, 21 (09) :7238-7252
[46]   Secure Radar-Communication Systems With Malicious Targets: Integrating Radar, Communications and Jamming Functionalities [J].
Su, Nanchi ;
Liu, Fan ;
Masouros, Christos .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (01) :83-95
[47]   Enabling Joint Communication and Radar Sensing in Mobile Networks-A Survey [J].
Zhang, J. Andrew ;
Rahman, Md Lushanur ;
Wu, Kai ;
Huang, Xiaojing ;
Guo, Y. Jay ;
Chen, Shanzhi ;
Yuan, Jinhong .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2022, 24 (01) :306-345
[48]   Radar and Communication Coexistence: An Overview A review of recent methods [J].
Zheng, Le ;
Lops, Marco ;
Eldar, Yonina C. ;
Wang, Xiaodong .
IEEE SIGNAL PROCESSING MAGAZINE, 2019, 36 (05) :85-99
[49]   Joint Design of Overlaid Communication Systems and Pulsed Radars [J].
Zheng, Le ;
Lops, Marco ;
Wang, Xiaodong ;
Grossi, Emanuele .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (01) :139-154
[50]  
Zhou Y., 2019, PROC INT C WIRELESS, P1