Joint Radar-Communication Systems by Optimizing Radar Performance and Quality of Service for Communication Users

被引:2
作者
Tsinos, Christos G. [1 ]
Arora, Aakash [2 ,3 ]
Tsiftsis, Theodoros A. [4 ,5 ]
机构
[1] Natl & Kapodistrian Univ Athens, Dept Digital Ind Technol, Evripus Campus, Euboea 34400, Greece
[2] Univ Twente, Fac Elect Engn Math & Comp Sci, Radio Syst Grp, NL-7500 AE Enschede, Netherlands
[3] Indian Inst Technol Delhi, Ctr Appl Res Elect, New Delhi 110016, India
[4] Univ Thessaly, Dept Informat & Telecommun, Lamia 35100, Greece
[5] Jinan Univ, Sch Intelligent Syst Sci & Engn, Zhuhai Campus, Zhuhai 519070, Peoples R China
来源
IEEE TRANSACTIONS ON RADAR SYSTEMS | 2024年 / 2卷
基金
中国国家自然科学基金;
关键词
Radar; Interference; Radar antennas; Signal to noise ratio; Radar detection; MIMO communication; Wireless communication; Beamforming; Dinkelbach method; joint radar-communication (JRC); majorization-minimization (MM); precoding; semidefinite programming (SDP); spectrum sharing; WAVE-FORM; MIMO RADAR; RECEIVE FILTER; DESIGN; SIGNAL; OPTIMIZATION; COEXISTENCE; TARGET; CODE;
D O I
10.1109/TRS.2024.3425275
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
In this article, the problem of linear precoding and radar receive beamforming design for joint radar-communication (JRC) systems is studied. A multiple antenna base station (BS) that serves multiple single-antenna user terminals on the downlink is assumed. Furthermore, the BS employs a simultaneous radar function in the form of point-like target detection from the reflected return signals in a signal-dependent interference environment. In this work, we jointly design the JRC linear precoder and the radar receive beamformer, thus aiming to optimize the performance of the radar part while maintaining a desired quality of service (QoS) for the communication one subject to a total transmit power constraint. To that end, we formulate a challenging fractional nonconvex optimization problem via which the optimal precoder and radar receive beamformer are derived. Then, we develop algorithmic solutions based on the majorization-minimization (MM) principle and the semidefinite relaxation (SDR) methodology for the formulated optimization problem. The performance of both the proposed solutions is examined and compared to the one of a system that supports only the radar functionality via numerical results.
引用
收藏
页码:778 / 790
页数:13
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