Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security

被引:32
作者
Dong, Fuwang [1 ]
Wang, Wei [2 ]
Li, Xin [2 ]
Liu, Fan [3 ,4 ]
Chen, Sheng [5 ]
Hanzo, Lajos [5 ]
机构
[1] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
[2] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, Harbin 150001, Peoples R China
[3] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
[4] Peng Cheng Lab, Shenzhen 518066, Peoples R China
[5] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, England
来源
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING | 2023年 / 7卷 / 01期
基金
中国国家自然科学基金; 英国工程与自然科学研究理事会; 欧洲研究理事会;
关键词
Radar; Array signal processing; Radar detection; Covariance matrices; Interference; Signal to noise ratio; Downlink; Dual-functional radar and communication system; joint beamforming design; physical layer security; multi-user MIMO; COEXISTENCE; DOWNLINK;
D O I
10.1109/TGCN.2022.3233863
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The dual-functional radar and communication (DFRC) technique constitutes a promising next-generation wireless solution, due to its benefits in terms of power consumption, physical hardware, and spectrum exploitation. In this paper, we propose sophisticated beamforming designs for multi-user DFRC systems by additionally taking the physical layer security (PLS) into account. We show that appropriately designed radar waveforms can also act as the traditional artificial noise conceived for drowning out the eavesdropping channel and for attaining increased design degrees of freedom (DoF). The joint beamforming design is formulated as a non-convex optimization problem for striking a compelling trade-off amongst the conflicting design objectives of radar transmit beampattern, communication quality of service (QoS), and the PLS level. Then, we propose a semidefinite relaxation (SDR)-based algorithm and a reduced-complexity version to tackle the non-convexity, where the globally optimal solutions are found. Moreover, a robust beamforming method is also developed for considering realistic imperfect channel state information (CSI) knowledge. Finally, simulation results are provided for corroborating our theoretical results and show the proposed methods' superiority.
引用
收藏
页码:537 / 549
页数:13
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