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题名

Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming

作者
发表日期
2022
DOI
发表期刊
ISSN
1053-587X
EISSN
1941-0476
卷号70页码:240-253
摘要
In this paper, we propose multi-input multi-output (MIMO) beamforming designs towards joint radar sensing and multi-user communications. We employ the Cramér-Rao bound (CRB) as a performance metric of target estimation, under both point and extended target scenarios. We then propose minimizing the CRB of radar sensing while guaranteeing a pre-defined level of signal-to-interference-plus-noise ratio (SINR) for each communication user. For the single-user scenario, we derive a closed form for the optimal solution for both cases of point and extended targets. For the multi-user scenario, we show that both problems can be relaxed into semidefinite programming by using the semidefinite relaxation approach, and prove that the global optimum can be generally obtained. Finally, we demonstrate numerically that the globally optimal solutions are reachable via the proposed methods, which provide significant gains in target estimation performance over state-of-the-art benchmarks.
关键词
相关链接[Scopus记录]
收录类别
SCI ; EI
语种
英语
重要成果
ESI高被引
学校署名
第一
WOS记录号
WOS:000742719600002
EI入藏号
20220211457150
EI主题词
Array processing ; Beam forming networks ; Benchmarking ; Clutter (information theory) ; MIMO radar ; MIMO systems ; Radar antennas ; Radar signal processing ; Receiving antennas ; Signal to noise ratio
EI分类号
Electromagnetic Waves in Relation to Various Structures:711.2 ; Telecommunication; Radar, Radio and Television:716 ; Information Theory and Signal Processing:716.1 ; Radar Systems and Equipment:716.2
ESI学科分类
ENGINEERING
Scopus记录号
2-s2.0-85113862338
来源库
Scopus
全文链接https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9652071
引用统计
被引频次[WOS]:194
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/314132
专题工学院_电子与电气工程系
作者单位
1.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China
2.State Key Laboratory of Scientific and Engineering Computing,Institute of Computational Mathematics and Scientific/Engineering Computing,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing,100190,China
3.School of Information and Communications Engineering,Faculty of Electronic and Information Engineering,Xi'an Jiaotong University,Shaanxi,Xi'an,710049,China
4.Department of Electronic and Electrical Engineering,University College London,London,WC1E 7JE,United Kingdom
5.Faculty of Mathematics and Computer Science,Weizmann Institute of Science,Rehovot,7610001,Israel
第一作者单位电子与电气工程系
第一作者的第一单位电子与电气工程系
推荐引用方式
GB/T 7714
Liu,Fan,Liu,Ya Feng,Li,Ang,et al. Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming[J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING,2022,70:240-253.
APA
Liu,Fan,Liu,Ya Feng,Li,Ang,Masouros,Christos,&Eldar,Yonina C..(2022).Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming.IEEE TRANSACTIONS ON SIGNAL PROCESSING,70,240-253.
MLA
Liu,Fan,et al."Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming".IEEE TRANSACTIONS ON SIGNAL PROCESSING 70(2022):240-253.
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