中山大学学报（自然科学版）（中英文）2024，Vol.63Issue(4)：124-131,8.DOI:10.13471/j.cnki.acta.snus.ZR20230019
基于平行因子分解的IRS辅助毫米波信道估计
IRS-assisted millimeter-wave channel estimation based on parallel factorization
摘要
Abstract
A channel estimation algorithm based on parallel factor(PARAFAC)decomposition is pro-posed.Firstly,the channel is modeled according to the inherent sparse characteristics of the mil-limeter-wave channel.Then,the signal matrix is constructed into a three-dimensional tensor by us-ing the characteristics of the block fading channel,and the tensor is decomposed by the parallel factorization algorithm.Then,the compressed sensing(CS)theory is used to transform the decom-posed matrix into a sparse signal recovery problem.Finally,the bilinear alternating least squares(NBALS)algorithm is improved to solve the channel.The simulation shows that compared with the existing BALS algorithm,wBALS algorithm,and LSKRF algorithm,the proposed algorithm improves the estimation accuracy.关键词
可重构智能表面/毫米波通信/信道估计/张量/平行因子分解Key words
IRS/millimeter wave communication/channel estimation/tensor/parallel factorization分类
信息技术与安全科学引用本文复制引用
杨青青,李学文,彭艺,王健明..基于平行因子分解的IRS辅助毫米波信道估计[J].中山大学学报（自然科学版）（中英文）,2024,63(4):124-131,8.基金项目
云南省计算机技术应用重点实验室(2021102) （2021102）
