期刊论文

中文

计算机应用研究

1001-3695

2024

41

04

1159-1163

10.19734/j.issn.1001-3695.2023.07.0359

62276276:国家自然科学基金

本校为第一机构

针对智能反射面(IRS)辅助的宽带正交频分复用(OFDM)系统的信道估计,当前大多数研究都是基于单符号全导频设置,且级联信道系数过多会导致导频开销较大.为此,提出了一种基于时域-角域块稀疏的两阶段信道估计方案.首先,通过分析信道在时域和角域上存在的共同稀疏特性,将级联信道矩阵转换为时域-角域上的块稀疏表示,并将信道估计问题转换为块稀疏矩阵恢复问题.其次,考虑传输导频限制和时域-角域块稀疏特性,提出了一种两阶段稀疏信道估计方案对级联信道进行稀疏恢复.仿真结果表明,相比另外三种基准方案,该方案可以使用较少的导频获得更优的信道估计性能,有效减少了导频开销,且估计准确度更高.

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 estimati...