Optimization of LPI-FDA-MIMO Radar and MIMO Communication for Spectrum Coexistence

被引:16
作者
Gong, Pengcheng [1 ,2 ]
Xu, Kaiyan [3 ]
Wu, Yuntao [1 ,2 ]
Zhang, Jing [1 ,2 ]
So, Hing Cheung [4 ]
机构
[1] Wuhan Inst Technol, Sch Comp Sci & Engn, Wuhan 430205, Peoples R China
[2] Wuhan Inst Technol, Hubei Key Lab Intelligent Robot, Wuhan 430205, Peoples R China
[3] Hubei Univ Technol, Sch Elect & Elect Engn, Wuhan 430068, Peoples R China
[4] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
FDA-MIMO radar; MIMO communication; peak-to-average ratio; waveform design; spectrum sharing; DESIGN;
D O I
10.1109/LWC.2023.3261419
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This letter studies the spectral efficiency of a multiple-input multiple-output (MIMO) radar with frequency diverse array (FDA) and a MIMO communication system in the same frequency band. To suppress mutual interference for both systems, and enhance low probability of intercept (LPI) capability of radar system, we propose a joint design of the transmit waveform and receive filter of radar, and the code-book employed by the communication system to form its space-time code matrix. Our problem formulation is to maximize the signal-to-interference-plus-noise ratio (SINR) and simultaneously minimize the probability of target detection of the radar signal under the peak-to-average ratio and communication rate constraints. Since the design problem is non-convex, we first transform it into three sub-optimization problems. An iterative algorithm is then developed to solve these subproblems to obtain the solution of the original problem. Simulation results show that the devised approach can effectively reduce the mutual interference as well as increase the SINR and LPI for radar system.
引用
收藏
页码:1076 / 1080
页数:5
相关论文
共 11 条
[1]   Frequency diverse array radars [J].
Antonik, Paul ;
Wicks, Michael C. ;
Griffiths, Hugh D. ;
Baker, Christopher J. .
2006 IEEE RADAR CONFERENCE, VOLS 1 AND 2, 2006, :215-+
[2]   Design and Analysis of FD MIMO Cellular Systems in Coexistence With MIMO Radar [J].
Biswas, Sudip ;
Singh, Keshav ;
Taghizadeh, Omid ;
Ratnarajah, Tharmalingam .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (07) :4727-4743
[3]  
Boyd SP., 2004, Convex optimization, DOI 10.1017/CBO9780511804441
[4]   Co-Design for Overlaid MIMO Radar and Downlink MISO Communication Systems via Cramr-Rao Bound Minimization [J].
Cheng, Ziyang ;
Liao, Bin ;
Shi, Shengnan ;
He, Zishu ;
Li, Jun .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2019, 67 (24) :6227-6240
[5]  
GONG Pengcheng, 2022, Journal on Communications, V43, P133, DOI [10.11959/j.issn.1000-436x.2022065, DOI 10.11959/J.ISSN.1000-436X.2022065]
[6]   Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar [J].
Liu, Xiang ;
Huang, Tianyao ;
Shlezinger, Nir ;
Liu, Yimin ;
Zhou, Jie ;
Eldar, Yonina C. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2020, 68 :3929-3944
[7]   TRACE INEQUALITY OF NEUMANN,JV [J].
MIRSKY, L .
MONATSHEFTE FUR MATHEMATIK, 1975, 79 (04) :303-306
[8]   Transmit Designs for Spectral Coexistence of MIMO Radar and MIMO Communication Systems [J].
Qian, Junhui ;
He, Zishu ;
Huang, Nuo ;
Li, Bo .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2018, 65 (12) :2072-2076
[9]   Joint System Design for Coexistence of MIMO Radar and MIMO Communication [J].
Qian, Junhui ;
Lops, Marco ;
Zheng, Le ;
Wang, Xiaodong ;
He, Zishu .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (13) :3504-3519
[10]   Cognitive FDA-MIMO radar for LPI transmit beamforming [J].
Xiong, Jie ;
Wang, Wen-Qin ;
Cui, Can ;
Gao, Kuandong .
IET RADAR SONAR AND NAVIGATION, 2017, 11 (10) :1574-1580