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

Sparse Channel Estimation for Millimeter Wave Massive MIMO Systems With Lens Antenna Array
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具有透镜天线阵列的毫米波大规模 MIMO 系统的稀疏信道估计

DOI:
10.1109/tvt.2019.2938541
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发表时间:
2019-08
影响因子:
6.8
通讯作者:
Li Shaoqian
Li Shaoqian
中科院分区:
计算机科学2区
文献类型:
--
作者:
Cheng Xiantao;Yang Ying;Xia Binyang;Wei Ning;Li Shaoqian

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研究了基于透镜天线阵列的毫米波大规模MIMO系统的信道估计问题。首先,我们将信道估计问题转化为稀疏信号恢复的问题。该公式考虑了毫米波MIMO信道中透镜天线阵列的能量聚焦特性以及多径稀疏性。然后,我们开发了一种基于期望最大化(EM)的算法来学习公式中的参数,从而完成信道估计。最后,我们进行了模拟,以验证所提出的方案的优势,比国家的最先进的同行。
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.
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