Sparse Channel Estimation for Millimeter Wave Massive MIMO Systems With Lens Antenna Array

被引：15
|
作者：
Cheng, Xiantao [1 ]
Yang, Ying [1 ]
Xia, Binyang [1 ]
Wei, Ning [1 ]
Li, Shaoqian [1 ]
机构：
[1] Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Chengdu 611731, Sichuan, Peoples R China
来源：
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2019年 / 68卷 / 11期
基金：
美国国家科学基金会;
关键词：
Channel estimation; expectation maximization (EM); massive MIMO; millimeter wave (mmWave); lens antenna array; sparsity;
D O I：
10.1109/TVT.2019.2938541
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：
This paper addresses the channel estimation issue for millimeter wave (mmWave) massive MIMO systems with lens antenna array. Firstly, we formulate the channel estimation problem into the framework of sparse signal recovery. The formulation takes into account of the energy focusing property of the lens antenna array as well as the mutipath sparsity in mmWave MIMO channels. Then we develop an expectation maximization (EM) based algorithm to learn the parameters in the formulation, thereby fulfilling the channel estimation. Finally, we conduct simulations to verify the advantages of the proposed scheme over the state-of-the-art counterparts.
引用
收藏
页码：11348 / 11352
页数：5
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