计算机工程与应用2018，Vol.54Issue(8)：91-95,5.DOI:10.3778/j.issn.1002-8331.1612-0072
Massive MIMO系统基于子空间的半盲信道估计
Subspace-based semi-blind channel estimation for Massive MIMO systems
摘要
Abstract
In view of the pilot contamination problems in Massive MIMO systems, together with the present study of SVD-based channel estimation algorithm,because the covariance matrix is made of the finite sample data rather than real data, it is a deviation here.Thus, joint SVD-based method and Iterative Least Square with Projection(ILSP)algo-rithm is introduced.Simulation results indicate that the proposed method can effectively reduce the deviation and improve the channel estimation accuracy,and it can effectively mitigate the effect of pilot contamination,so as to realize the pur-pose of Massive MIMO system performance improvement.关键词
大规模多输入多输出(MIMO)系统/导频污染/奇异值分解(SVD)算法/迭代最小二乘投影(ILSP)算法Key words
massive Multiple-Input Multiple-Output(MIMO)systems/pilot contamination/Singular Value Decomposition (SVD)algorithm/Iterative Least Square with Projection(ILSP)algorithm分类
信息技术与安全科学引用本文复制引用
王茜竹,邱聪聪..Massive MIMO系统基于子空间的半盲信道估计[J].计算机工程与应用,2018,54(8):91-95,5.基金项目
国家科技重大专项资助项目(No.2016ZX03002019-007-001) （No.2016ZX03002019-007-001）
重庆市教委科学技术研究项目(No.KJ1500427). （No.KJ1500427）
