网络安全与数据治理2025，Vol.44Issue(3)：32-38,7.DOI:10.19358/j.issn.2097-1788.2025.03.006
基于高原地区的超大规模海量MIMO系统混合场信道估计
Hybrid-field channel estimation for extreme large scale massive MIMO systems in plateau regions
摘要
Abstract
To improve the poor communication conditions in high-altitude areas,it is possible to deploy an Extreme Large scale massive Multiple-Input Multiple-Output(XL-MIMO)system.The terrain in high-altitude areas is complex,with many buildings,mountains,and other scatterers that may form a complex channel environment with a mixture of near-field and far-field.In this environment,the distribution of scatterers may include both the far-field area far from the base station and the near-field area close to the base station.A hybrid-field channel model is thus constructed to describe and simulate the complex characteristics of the hybrid-field channel.Secondly,to ensure the capacity and performance of the XL-MIMO system,it is necessary to obtain accurate channel state information of the hybrid-field channel.To this end,a two-stage channel estimation scheme is proposed.Through simulation verification,it is found that the proposed two-stage hybrid field channel estimation scheme has better Normalized Mean Square Error under different signal-to-noise ratios,different pilot lengths,and different path parameters,making it more suitable for the application of XL-MIMO systems in the complex environment.关键词
超大规模多输入多输出/信道估计/混合场/正交匹配追踪算法/信道稀疏度Key words
XL-MIMO/channel estimation/hybrid-field/orthogonal matching pursuit algorithm/channel sparsity分类
电子信息工程引用本文复制引用
张钧鑫,彭秋云,张雨晨,黄欢,杨君楠,姜军..基于高原地区的超大规模海量MIMO系统混合场信道估计[J].网络安全与数据治理,2025,44(3):32-38,7.基金项目
国家自然科学基金(62261051) （62261051）
西藏大学研究生高水平人才培养计划(2022-GSP-S103) （2022-GSP-S103）
2021年度武汉理工大学-西藏大学"西藏经济社会发展与高原科学研究共建创新基金"(lzt2021007) （lzt2021007）
