物联网学报2024，Vol.8Issue(4)：119-128,10.DOI:10.11959/j.issn.2096-3750.2024.00378
基于张量分解和流形优化的双IRS辅助毫米波MIMO系统信道估计
Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimization
摘要
Abstract
The issue of channel estimation for a double intelligent reflecting surface(IRS)assisted millimeter wave multiple-input multiple-output(MIMO)system was addressed and a channel estimation scheme based on tensor decompo-sition and manifold optimization was proposed.Specifically,a tensor model was constructed based on the high-dimensional features of received signals,and the objective function of the channel estimation problem was formulated based on the Tucker2 decomposition of the tensor.Then,the channel estimation problem was decomposed into multiple sub-problems using alternating optimization theory,providing feasible solutions for estimating the channel of each hop in the double IRS scenario.Finally,considering the low-rank characteristics of the millimeter wave channel itself,each channel estimation sub-problem was transformed into an optimization problem on the complex fixed-rank matrix manifold,and a manifold optimization-based alternating channel estimation scheme was proposed by leveraging the advantages of fixed-rank manifold optimization in solving rank-constrained optimization problems.Unlike traditional schemes,the pro-posed scheme takes into account the low-rank characteristics of millimeter wave channels,accurately describes the chan-nels,and effectively handles fixed-rank constraints using manifold optimization theory,thus improving the accuracy of channel estimation.Simulation results show that the proposed channel estimation scheme outperforms existing reference schemes in terms of estimation performance in different scenarios.关键词
毫米波MIMO系统/双智能反射面/信道估计/流形优化/张量分解Key words
millimeter wave MIMO system/double IRS/channel estimation/manifold optimization/tensor decomposition分类
信息技术与安全科学引用本文复制引用
冯凯辉,刘陈,黄钲,宋云超,高润勤..基于张量分解和流形优化的双IRS辅助毫米波MIMO系统信道估计[J].物联网学报,2024,8(4):119-128,10.基金项目
国家自然科学基金资助项目(No.62101282)The National Natural Science Foundation of China(No.62101282) （No.62101282）
