计算机应用研究2024，Vol.41Issue(4)：1159-1163,5.DOI:10.19734/j.issn.1001-3695.2023.07.0359
智能反射面辅助的OFDM系统稀疏信道估计研究
Research on sparse channel estimation for intelligent reflecting surface aided OFDM system
摘要
Abstract
For the channel estimation of broadband OFDM system assisted by IRS,most of the current researches are based on the full pilot setting on a single symbol,and excessive cascaded channel coefficients will lead to large pilot overhead.This pa-per proposed a two-stage channel estimation scheme based on block sparse in time-angle domain.Firstly,by analyzing the common sparse characteristics of the channel in the time domain and the angular domain,this paper transformed the cascaded channel matrix into a block sparse representation in the time domain-angular domain,and converted the channel estimation problem into a block sparse matrix recovery problem.Secondly,this paper proposed a two-stage sparse channel estimation scheme to sparsely recover the cascaded channel considering the transmission pilot limitation and the time-angle domain block sparse characteristics.Simulation results show that compared to the other three benchmark schemes,the proposed scheme can achieve better channel estimation performance with fewer pilots,effectively reducing the pilot overhead and achieving higher estimation accuracy.关键词
智能反射面/正交频分复用/信道估计/压缩感知Key words
intelligent reflecting surface(IRS)/orthogonal frequency division multiplexing(OFDM)/channel estimation/compressive sensing分类
信息技术与安全科学引用本文复制引用
朱俊杰,彭玲..智能反射面辅助的OFDM系统稀疏信道估计研究[J].计算机应用研究,2024,41(4):1159-1163,5.基金项目
国家自然科学基金资助项目(62276276) （62276276）
