移动通信2024，Vol.48Issue(4)：100-104,5.DOI:10.3969/j.issn.1006-1010.20231227-0003
基于稀疏度自适应的RIS辅助无线通信系统信道估计
Channel Estimation of RIS-assisted Wireless Communication System Based on Sparsity Adaptive
张馨宇 1杜江 1胡斐1
作者信息
- 1. 成都信息工程大学通信工程学院,四川 成都 610000||气象信息与信号处理四川省高校重点实验室,四川 成都 610000
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摘要
Abstract
For the research on channel estimation algorithms for reconfigurable intelligent surface(RIS)-assisted wireless communication system,double structured sparse adaptive matching pursuit(DS-SAMP)algorithm is proposed.Compared with the existing DS-OMP algorithm,DS-SAMP algorithm leverages the dual structure sparsity in the angular domain of millimeter wave channels,where the SAMP algorithm is used for signal recovery.By setting reasonable step size and threshold value,the prior conditions such as sparsity are not required in the running process,and the application scope of the algorithm is expanded.The simulation results show that the DS-SAMP algorithm can steadily recover the signal and complete the corresponding channel estimation under the condition of unknown sparsity,demonstrating significant advantages of the proposed algorithm.关键词
RIS/信道估计/SAMP/双结构稀疏Key words
RIS/channel estimation/SAMP/double-structured sparsity分类
信息技术与安全科学引用本文复制引用
张馨宇,杜江,胡斐..基于稀疏度自适应的RIS辅助无线通信系统信道估计[J].移动通信,2024,48(4):100-104,5.
