Cramer-Rao Bound Optimization for Joint Radar-Communication Beamforming
Liu, Fan3; Liu, Ya-Feng4; Li, Ang5; Masouros, Christos1; Eldar, Yonina C.2
刊名IEEE TRANSACTIONS ON SIGNAL PROCESSING
2022
卷号70页码:240-253
关键词Radar Array signal processing Sensors Radar antennas Estimation Optimization Receiving antennas Dual-functional radar-communication joint beamforming Cramer-Rao bound semidefinite relaxation successive convex approximation
ISSN号1053-587X
DOI10.1109/TSP.2021.3135692
英文摘要In this paper, we propose multi-input multi-output (MIMO) beamforming designs towards joint radar sensing and multi-user communications. We employ the Cramer-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.
资助项目National Natural Science Foundation of China[62101234] ; National Natural Science Foundation of China[62101422] ; National Natural Science Foundation of China[12022116] ; Engineering and Physical Sciences Research Council[EP/S028455/1] ; China Academy of Information and Communications Technology[CG20210717002]
WOS研究方向Engineering
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000742719600002
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/59902]  
专题中国科学院数学与系统科学研究院
通讯作者Liu, Ya-Feng
作者单位1.UCL, Dept Elect & Elect Engn, London WC1E 7JE, England
2.Weizmann Inst Sci, Fac Math & Comp Sci, IL-7610001 Rehovot, Israel
3.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
4.Chinese Acad Sci, State Key Lab Sci & Engn Comp, Inst Computat Math & Sci Engn Comp, Acad Math & Syst Sci, Beijing 100190, Peoples R China
5.Xi An Jiao Tong Univ, Fac Elect & Informat Engn, Sch Informat & Commun Engn, Xian 710049, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Liu, Fan,Liu, Ya-Feng,Li, Ang,et al. Cramer-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).Cramer-Rao Bound Optimization for Joint Radar-Communication Beamforming.IEEE TRANSACTIONS ON SIGNAL PROCESSING,70,240-253.
MLA Liu, Fan,et al."Cramer-Rao Bound Optimization for Joint Radar-Communication Beamforming".IEEE TRANSACTIONS ON SIGNAL PROCESSING 70(2022):240-253.
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