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作 者:王瑞炜 韩曦 虞欣 刘芹 王运智 WANG Ruiwei;HAN Xi;YU Xin;LIU Qin;WANG Yunzhi(North University of Technology,Beijing,100000,China)
机构地区:[1]北方工业大学,北京100000
出 处:《智能城市应用》2022年第4期44-47,共4页Smart City Application
基 金:泛网无线通信教育部重点实验室(BUPT)(批准编号KFKT-2020104)的资助;北京市自然基金项目(L182039,L192034);北京市教育委员会科学研究计划项目资助(KM201910009011);北方工业大学科研启动基金资助项目。
摘 要:针对在智能反射面(Intelligence Reflecting Surface,IRS)辅助的毫米波通信系统中,提出了两种基于张量模型的分开信道估计和半盲信号估计算法。文中使用KRST编码方案将信号进行模拟预编码后进行发送,通过IRS实时调节相移将预编码信号处理后反射给混合合并器处理后到目的节点。为了考虑实际场景中用户端处于移动的状态,将接受信号构建为PARATUCK模型,通过三线性交替最小二乘算法进行毫米波时变信道估计,第二种是对接收信号进行奇异值分解从而进行克罗奈克积分解因子毫米波算法,得到了两种新型的半盲毫米波接收机算法,通过仿真对所提算法的有效性进行了验证,信道和信号估计性能优越。For millimeter wave communication system assisted by intelligent reflecting surface(IRS),two separate channel estimation and semi blind signal estimation algorithms based on tensor model are proposed.In this paper,KRST coding scheme is used to send the signal after analog precoding.The phase shift is adjusted in real time by IRS,and the precoded signal is processed and reflected to the hybrid combiner for processing,and then to the destination node.In order to consider the moving state of the user in the actual scene,the received signal is constructed as a paratuck model,and the millimeter wave time-varying channel is estimated by the trilinear alternating least square algorithm.The second is the Kronecker integral factorization millimeter wave algorithm based on the singular value decomposition of the received signal.Two new semi blind millimeter wave receiver algorithms are obtained,and the effectiveness of the proposed algorithm is verified by simulation,excellent channel and signal estimation performance.
分 类 号:TN928[电子电信—通信与信息系统]
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