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作 者:JIAN Mengnan ZHANG Nan CHEN Yijian
机构地区:[1]State Key Laboratory of Mobile Network and Mobile Multimedia Technology,Shenzhen 518055,China [2]Algorithm Department,Wireless Product R&D Institute,ZTE Corpo-ration,Shenzhen 518057,China
出 处:《ZTE Communications》2022年第1期57-62,共6页中兴通讯技术(英文版)
摘 要:As a critical candidate technology for 5G-advanced and 6G,reconfigurable intelligent surfaces(RIS)have received extensive atten-tion from academia and industry.RIS has the promising features of passiveness,reconfigurable ability,and low cost.RIS channel estimation faces the challenges of high matrix dimension,passive estimation,and spatial-wideband effect.In this article,we analyze the impact of the spatial-wideband effect on the RIS channel to account for the propagation delay across RIS elements and estimate sparse channel parameters such as angle and gain through a super-resolution compressive sensing(CS)algorithm.The simulation results explore the influence of the spatial-wideband effect on the RIS channel and verify the effectiveness of the proposed algorithm.
关 键 词:RIS channel estimation spatial-wideband effect compressed sensing
分 类 号:TN929.5[电子电信—通信与信息系统]
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