Yuanzhe Dai, Kaifeng Han, Guo Wei, Ying Du, Zhiqin Wang
{"title":"Hybrid Beamforming for DFRC System Based on SINR Performance Metric","authors":"Yuanzhe Dai, Kaifeng Han, Guo Wei, Ying Du, Zhiqin Wang","doi":"10.1109/ICCCWorkshops52231.2021.9538857","DOIUrl":null,"url":null,"abstract":"Dual-functional radar-communication (DFRC) is a promising solution to simultaneously implement radar detection and communication. To further reduce the hardware cost, the hybrid analog-digital (HAD) beamforming problem on DFRC system is investigated in this paper. Specifically, the problem is to maximize the SINR of radar receiver under the non-convex individual SINR constraints of communication users (CUs) while guaranteeing the constant modulus constraints of analog beamformer. To solve this problem, we propose an iteration algorithm, which optimizes digital and analog beamformer iteratively. Both digital and analog beamforming designs are formulated as non-convex quadratically constrained quadratic programs (QCQPs), and we use semidefinite relaxation (SDR) and feasible point pursuit successive convex approximation (FPP-SCA) techniques to solve them respectively. Finally, we evaluate the proposed algorithm by numerical simulations, which show that the performance of the proposed hybrid beamforming design is close to that of the full-digital beamforming.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Dual-functional radar-communication (DFRC) is a promising solution to simultaneously implement radar detection and communication. To further reduce the hardware cost, the hybrid analog-digital (HAD) beamforming problem on DFRC system is investigated in this paper. Specifically, the problem is to maximize the SINR of radar receiver under the non-convex individual SINR constraints of communication users (CUs) while guaranteeing the constant modulus constraints of analog beamformer. To solve this problem, we propose an iteration algorithm, which optimizes digital and analog beamformer iteratively. Both digital and analog beamforming designs are formulated as non-convex quadratically constrained quadratic programs (QCQPs), and we use semidefinite relaxation (SDR) and feasible point pursuit successive convex approximation (FPP-SCA) techniques to solve them respectively. Finally, we evaluate the proposed algorithm by numerical simulations, which show that the performance of the proposed hybrid beamforming design is close to that of the full-digital beamforming.