An Enhanced Channel Estimation Method for Millimeter Wave Systems With Massive Antenna Arrays
An Enhanced Channel Estimation Method for Millimeter Wave Systems With Massive Antenna Arrays
复制标题
一种大规模天线阵列毫米波系统的增强信道估计方法
DOI：
10.1109/lcomm.2015.2456872
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发表时间：
2015-09-01
期刊：
影响因子：
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通讯作者：
Wang, Peng
中科院分区：
文献类型：
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作者：
Peng, Yuexing;Li, Yonghui;Wang, Peng
在这封信中，我们专注于毫米波（MMW）系统的大规模天线阵列和RF约束的有效信道估计问题，旨在实现快速和高分辨率的到达角/离开角（AoA/AoD）估计。我们首先提出了一种虚拟天线阵（AAVE）的表示方法，通过在原有的天线阵中添加虚拟天线单元。在该结构的基础上，我们利用压缩感知理论，研究了角度域的信道稀疏性，并提出了一种有效的角度估计算法。然后，我们提出了一种训练设计，并证明了在所提出的训练中的传感矩阵可以保证准确的检测角度的概率很高。分析和仿真结果表明，与现有算法相比，该方法在不改变物理天线阵列的情况下，不仅具有更低的开销，而且具有更高的角度估计精度。
In this letter, we focus on the efficient channel estimation problem for millimeter wave (MMW) systems with massive antenna arrays and RF constraints, aiming at achieving a fast and high resolution angle-of-arrival/angle-of-departure (AoA/AoD) estimation. We first propose a presentation of antenna array with virtual elements (AAVE) by appending additional virtual antenna elements into the original antenna array. On the basis of the AAVE structure, we explore the channel sparsity in the angular domain and develop an efficient angle estimation algorithm by using compressive sensing theories. We then proposed a training design and prove that the sensing matrix in the proposed training can guarantee the accurate detection of angles with a high probability. Both the analytical and simulation results show that, without changing the physical antenna arrays, the proposed approach can achieve not only a lower overhead, but also a significantly higher resolution in angles estimation, compared to the existing algorithms.