Cramer-Rao Bound Optimization for Joint Radar-Communication Beamforming
Liu, Fan1; Liu, Ya-Feng2; Li, Ang3; Masouros, Christos4; Eldar, Yonina C.5
AbstractIn 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.
KeywordRadar Array signal processing Sensors Radar antennas Estimation Optimization Receiving antennas Dual-functional radar-communication joint beamforming Cramer-Rao bound semidefinite relaxation successive convex approximation
Indexed BySCI
Funding ProjectNational 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 Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000742719600002
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Document Type期刊论文
Corresponding AuthorLiu, Ya-Feng
Affiliation1.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
Recommended Citation
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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