现代电子技术2026，Vol.49Issue(11)：14-19,6.
基于张量分解的隧道信道估计算法
Tunnel channel estimation algorithm based on tensor decomposition
摘要
Abstract
A fast channel estimation algorithm based on tensor decomposition is proposed to realize timely acquisition of channel state information in wireless communication systems assisted by reconfigurable intelligent surfaces(RISs)in tunnel environments.Firstly,a cascade channel matrix is constructed by a small number of passive reflector units,and a third-order tensor model is built.Then,the third-order tensor is compressed by high-order singular value decomposition(HOSVD),and the cascade matrix estimation problem is transformed into a tensor decomposition problem.Finally,the enhanced plane search algorithm is used to dynamically update the channel matrix information,and the optimal relaxation factor is calculated at the same time to accelerate convergence and improve estimation accuracy.The simulations verified the channel estimation characteristics.The introduction of intelligent surface improves the channel estimation performance of tunnel wireless communication.In comparison with the traditional algorithms,by changing the number of antennas and the number of reflector units,the proposed algorithm has lower normalized mean square error(NMSE),can converge to the order of 10-6,and has a faster running speed.In addition,the variable factors in different tunnel environments were simulated,which reflected the applicability of the algorithm in complex environments.关键词
可重构智能反射面/隧道无线通信/信道估计/高阶奇异值分解/平面搜索/松弛因子/归一化均方误差Key words
RIS/tunnel wireless communication/channel estimation/HOSVD/plane search/relaxation factor/NMSE分类
信息技术与安全科学引用本文复制引用
李波,王和航..基于张量分解的隧道信道估计算法[J].现代电子技术,2026,49(11):14-19,6.基金项目
辽宁省教育厅基本科研项目(面上项目)(JYTMS20230862) （面上项目）
