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作 者:马永生 王保云[1] MA Yongsheng;WANG Baoyun(College of Communications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
机构地区:[1]南京邮电大学通信与信息工程学院,江苏南京210023
出 处:《无线通信技术》2024年第4期1-6,共6页Wireless Communication Technology
摘 要:有源可重构智能表面(Reconfigurable Intelligent Surface,RIS)相比于传统无源RIS不仅可以改变信号的相位,还能实现对信号的放大。为解决集成雷达传感和无线功率传输(Integrated Radar Sensing and Wireless Power Transfer,ISWPT)系统中雷达功能和功率传输功能相互制约的问题,本文研究了一种有源RIS辅助的ISWPT系统,通过联合优化基站发射波束和有源RIS的功率放大系数和反射相位,使系统的传感能力和功率传输能力同时达到最优。针对模型中存在的由于多个变量耦合导致的非凸问题,本文采用交替优化算法和半正定松弛算法来解决。大量的实验数据证明,有源RIS的引入使得ISWPT系统功率传输功能明显增强。This paper explores the utilization of an active Reconfigurable Intelligent Surface(RIS)in an Integrated Radar Sensing and Wireless Power Transfer(ISWPT) system to address the challenges posed by the mutual constraints between radar functionality and power transmission. We focus on optimizing the power amplification coefficient and reflection coefficient of the active RIS, as well as the beamforming at the base station, to enhance both sensing and power transmission capabilities of the system. To tackle the non-convexity arising from the coupling of multiple variables in the model, we employ alternating optimization and semidefinite relaxation algorithms. Extensive experimental validation demonstrates significant enhancements in the power transmission function of the active RIS assisted ISWPT system compared to the original system.
关 键 词:集成雷达传感和无线功率传输 有源可重构智能表面 交替优化算法 半正定松弛算法
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