Joint Transmit Beamforming Design for Secure Communication and Radar Coexistence Systems

被引：5

作者：

Chu, Jinjin ^{[1
]}

Liu, Rang ^{[1
]}

Liu, Yang ^{[1
]}

Li, Ming ^{[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, Liaoning, Peoples R China

来源：

2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2022年

基金：

中国国家自然科学基金;

关键词：

Integrated sensing and communications (ISAC); radar-communication coexistence (RCC); multiuser multi-input single-output (MU-MISO); physical layer security; friendly jammer; MIMO RADAR;

D O I：

10.1109/WCNC51071.2022.9771662

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we investigate the physical layer security of multiuser multi-input single-output (MU-MISO) communication and colocated multi-input multi-output (MIMO) radar coexistence systems, in which the strong radar signals are exploited as inherent jamming signals to disrupt malicious receptions. The transmit beamformers of communication and radar systems are jointly designed to ensure the secure transmission by minimizing the maximum eavesdropping signal-to-interference-plus-noise ratio (SINR) on multiple legitimate users, while satisfying the quality-of-service (QoS) of legitimate transmission, the requirement of radar target detection, and the transmit power constraints of radar and communication systems. An efficient fractional programming (FP) and semi-definite relaxation (SDR) based algorithm is proposed to solve the non-convex optimization problem. Simulation results verify the advancement of the proposed joint transmit beamforming on secure transmission for radar and communication coexistence systems and the effectiveness of the associate design algorithm.

引用

页码：205 / 209

页数：5

共 14 条

[1] Target detection and localization using. MIMO radars and sonars [J].

Bekkerman, Ilya ;

Tabrikian, Joseph .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (10) :3873-3883

[2] Radar-Communications Convergence: Coexistence, Cooperation, and Co-Design [J].

Chiriyath, Alex R. ;

Paul, Bryan ;

Bliss, Daniel W. .

IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2017, 3 (01) :1-12

[3]

Dinkelbach W., 1967, Management Science, V13, P492, DOI DOI 10.1287/MNSC.13.7.492

[4] Guaranteeing secrecy using artificial noise [J].

Goel, Satashu ;

Negi, Rohit .

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2008, 7 (06) :2180-2189

[5] Secure Beamformer Designs in MU-MIMO Systems With Multiuser Interference Exploitation [J].

Li, Ming ;

Ti, Guangyu ;

Liu, Qian .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (09) :8288-8301

[6] QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach [J].

Liao, Wei-Cheng ;

Chang, Tsung-Hui ;

Ma, Wing-Kin ;

Chi, Chong-Yung .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (03) :1202-1216

[7] Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead [J].

Liu, Fan ;

Masouros, Christos ;

Petropulu, Athina P. ;

Griffiths, Hugh ;

Hanzo, Lajos .

IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 68 (06) :3834-3862

[8] MIMO Radar and Cellular Coexistence: A Power-Efficient Approach Enabled by Interference Exploitation [J].

Liu, Fan ;

Masouros, Christos ;

Li, Ang ;

Ratnarajah, Tharmalingam ;

Zhou, Jianming .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (14) :3681-3695

[9]

Liu R., 2021, JOINT TRANSMIT WAVEF

[10]

Qian J., IEEE T SIGNAL PROCES

← 1 2 →