太赫兹科学与电子信息学报2017，Vol.15Issue(6)：933-939,7.DOI:10.11805/TKYDA201706.0933
一种FDD大规模MIMO系统下行信道估计算法
A downlink channel estimation algorithm for FDD massive MIMO systems
摘要
Abstract
One of the key technologies of massive Multiple Input Multiple Output(MIMO) systems is channel estimation. The problem of downlink channel estimation in the Frequency Division Duplexing (FDD) Massive MIMO system is studied. By using the block sparsity of the Massive MIMO-OFDM channel in the angular-frequency domain, a low complexity estimation algorithm based on block matching pursuit is proposed. In addition, the system coherence time may be exceeded due to too much time cost when adopting orthogonal pilot symbol in the time domain. To solve this problem, an antenna grouping transmission scheme is proposed to reduce the total channel estimation time by sacrificing the observed data length. The simulation results show that the proposed algorithm has good anti-noise performance, and it can accurately determine the non-zero position of the sparse vector and can adaptively determine the sparsity.关键词
大规模多输入多输出/频分双工/信道估计/正交频分复用Key words
massive Multiple Input Multiple Output/frequency division duplex/channel estimation/Orthogonal Frequency Division Multiplexing分类
信息技术与安全科学引用本文复制引用
张宇行,胡蝶..一种FDD大规模MIMO系统下行信道估计算法[J].太赫兹科学与电子信息学报,2017,15(6):933-939,7.基金项目
国家自然科学基金资助项目(61771144) （61771144）
