Uplink channel estimation for massive MIMO systems exploring joint channel sparsity

被引：39
|
作者：
Qi, Chenhao [1 ]
Wu, Lenan [1 ]
机构：
[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China
来源：
ELECTRONICS LETTERS | 2014年 / 50卷 / 23期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1049/el.2014.2769
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The joint sparsity of uplink channels in massive multi-input-multi-output (MIMO) systems is explored and a block sparse model is proposed for joint channel estimation. The block coherence of this model is analysed. It is indicated that as the number of antennas at the base station grows to be infinity, the block coherence will be zero. Then a block optimised orthogonal matching pursuit (BOOMP) algorithm is proposed. Simulation results verify the analysis and show that the joint estimation using the BOOMP algorithm can significantly improve the channel estimation performance.
引用
收藏
页码：1770 / 1771
页数：2
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