计算机应用与软件2018，Vol.35Issue(4)：199-202,226,5.DOI:10.3969/j.issn.1000-386x.2018.04.037
一种自适应波束赋形的大规模MIMO信道估计方法
A MASSIVE MIMO CHANNEL ESTIMATION METHOD BASED ON ADAPTIVE BEAMFORMING
摘要
Abstract
Numerous research results showed that massive multiple-input-multiple-output (Massive MIMO) channel exhibited a sparse structure.Using this feature,a new channel estimation algorithm had been developed,which could adaptively beam form and jointly optimize the sparse vector and matrix functions.The key part of this algorithm was to randomly optimize the structural model based on continuous constants and to use it alternately with the basic denoising optimization scheme to find the sparse feature channel.The simulation results showed that this improved sparse channel estimation method could not only reduce the number of pilots but also improve the channel estimation error of at least 20 dB compared with the common sparse channel estimation method based on Fourier transform.关键词
信道估计/稀疏信道/检测算法/多径传播/组合矩阵/特征向量Key words
Channel estimation/Sparse channel/Detection algorithm/Multipath propagation/Combinatorial matrix/Feature vector分类
天文与地球科学引用本文复制引用
徐啸涛,陈丽琴,朱燕..一种自适应波束赋形的大规模MIMO信道估计方法[J].计算机应用与软件,2018,35(4):199-202,226,5.基金项目
浙江省教育厅2017年度高等学校国内访问工程师专业发展项目 （）
浙江省教育厅2016年科研项目(Y201636446). （Y201636446）
