重庆邮电大学学报（自然科学版）2025，Vol.37Issue(5)：658-667,10.DOI:10.3979/j.issn.1673-825X.202412140311
基于稀疏信号恢复的IRS-OTFS系统信道估计算法
Channel estimation algorithm for IRS-OTFS systems via sparse signal recovery
摘要
Abstract
This study focuses on the problem of fractional channel parameters affecting channel estimation performance in intelligent reflecting surface-orthogonal time frequency space(IRS-OTFS)communication systems.A channel estimation method for IRS-OTFS systems is proposed by leveraging the sparsity of OTFS channels in the delay-Doppler(DD)domain.First,the joint sparsity channel estimation problem among channel parameters is transformed into a sparse signal recovery problem.Next,the fast iterative shrinkage/thresholding algorithm(FISTA)is introduced to solve this problem.The input-output relationship of the IRS-OTFS communication system is then derived.To address the issue of manual parameter tuning in traditional FISTA,a network architecture based on the FISTA algorithm is proposed.This architecture unfolds the itera-tive process of the sparse signal recovery algorithm into a neural network.The network is designed to automatically learn the optimal hyperparameters and nonlinear functions within the algorithm.Theoretical analysis and simulation results demon-strate that,under the same channel transmission conditions,the proposed algorithm achieves lower estimation error com-pared to the benchmark algorithm.关键词
智能反射表面/正交时频空间/信道估计/稀疏信号恢复Key words
intelligent reflecting surface(IRS)/orthogonal time frequency space(OTFS)/channel estimation/sparse sig-nal recovery分类
电子信息工程引用本文复制引用
周建萍,段佳慧,张祖凡..基于稀疏信号恢复的IRS-OTFS系统信道估计算法[J].重庆邮电大学学报（自然科学版）,2025,37(5):658-667,10.基金项目
国家自然科学基金(62202077) （62202077）
重庆市教育委员会科学技术研究计划青年项目(KJQN0202200609)National Natural Science Foundation of China(62202077) （KJQN0202200609）
Youth Project of Science and Technology Research Program of Chongqing Education Commission(KJQN0202200609) （KJQN0202200609）
