RIS辅助MU-MISO系统中信道估计算法研究  

Research on Channel Estimation Algorithm in RIS-Assisted MU-MISO System

作　　者：张钊 吕瑞宏 ZHANG Zhao;LYU Ruihong(School of Information Science and Engineering,Shenyang University of Technology,Shenyang 110870,China)

机构地区：[1]沈阳工业大学信息科学与工程学院,沈阳110870

出　　处：《微处理机》2025年第2期28-32,共5页Microprocessors

摘　　要：针对RIS辅助MU-MISO系统中由于RIS的无源特性和高维特性导致传统信道估计算法精度下降和导频开销过大的问题,设计一种高效且低消耗的信道估计算法。利用基站和RIS之间的公共列稀疏性和级联信道具有联合缩放特性的行稀疏性,将级联信道矩阵降维以减小导频开销。将双结构稀疏性、交替优化和迭代重加权最小二乘算法结合,设计出DS-AO-IRLS算法对级联进行估计。仿真结果表明,在使用相同的导频消耗进行信道估计时,本算法相比较正交匹配追踪(OMP)算法信道估计性能提升了11.2 dB以上。To address the issues of decreased accuracy in traditional channel estimation algorithms and excessive pilot overhead caused by the passive nature and high-dimensional characteristics of RIS in RIS-assisted MU-MISO systems,an efficient and low-cost channel estimation algorithm is designed.By leveraging the common column sparsity between the base station and RIS and the row sparsity of the cascaded channel with joint scaling properties,the dimensionality of the cascaded channel matrix is reduced to decrease pilot overhead.Combining dual-structured sparsity,alternating optimization,and iterative reweighted least squares algorithms,the DS-AO-IRLS algorithm is designed to estimate the cascaded channel.Simulation results show that,when using the same pilot overhead for channel estimation,the proposed algorithm improves channel estimation performance by more than 11.2 dB compared to the Orthogonal Matching Pursuit(OMP)algorithm.

关 键 词：可重构智能表面 信道估计 双结构稀疏性 交替优化 迭代重加权最小二乘 

分 类 号：TN929.5[电子电信—通信与信息系统]