Cramer-Rao Bound Optimization for Joint Radar-Communication Beamforming
文献类型：期刊论文
| 作者 | Liu, Fan1; Liu, Ya-Feng2; Li, Ang3; Masouros, Christos4; Eldar, Yonina C.5 |
| 刊名 | IEEE TRANSACTIONS ON SIGNAL PROCESSING
 |
| 出版日期 | 2022 |
| 卷号 | 70页码:240-253 |
| ISSN号 | 1053-587X |
| 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 |
| DOI | 10.1109/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 |
| 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.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China 2.Chinese Acad Sci, State Key Lab Sci & Engn Comp, Inst Computat Math & Sci Engn Comp, Acad Math & Syst Sci, Beijing 100190, Peoples R China 3.Xi An Jiao Tong Univ, Fac Elect & Informat Engn, Sch Informat & Commun Engn, Xian 710049, Shaanxi, Peoples R China 4.UCL, Dept Elect & Elect Engn, London WC1E 7JE, England 5.Weizmann Inst Sci, Fac Math & Comp Sci, IL-7610001 Rehovot, Israel |
| 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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