论文标题
智能反映表面辅助MMWave通信的高分辨率渠道估计
High-Resolution Channel Estimation for Intelligent Reflecting Surface-Assisted MmWave Communications
论文作者
论文摘要
在本文中，我们研究了智能反射表面（IRS）辅助毫米波（MMWave）多输入 - 元素输出（MIMO）通信的高分辨率通道估计问题，这是保证进一步的高速公路数据传输的先决条件。考虑到MMWave通道的典型稀疏性，我们从稀疏的信号恢复的角度从层叠的通道估计问题中提出了级联的通道估计问题，然后提出了一种新型的两步级联通道估计协议，以估算IRS辅助MMWAVE MIMO MIMO Communication的高分辨率的级联用户IRS-BASE渠道。更具体地说，第一步是估计粗角域信息（ADI），并通过梁训练进一步建立强大的上行链路。在第二步中，提出了一种自适应网格匹配追踪（AGMP）算法来估计复杂性较低的高分辨率级联通道状态信息（CSI）。仿真结果验证了所提出的两步通道估计协议大大优于最新方案，即基于光束训练的通道估计，同时可以通过Perfect CSI获得接近最佳的系统性能。
In this paper, we study the high-resolution channel estimation problem for intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) multiple-input-multiple-output (MIMO) communications, which is a prerequisite to guarantee further high-rate data transmission. Considering the typical sparsity of mmWave channels, we formulate the cascaded channel estimation problem from a sparse signal recovery perspective, and then propose a novel two-step cascaded channel estimation protocol to estimate the cascaded user-IRS-base station channel with high-resolution for IRS-assisted mmWave MIMO communications. More specifically, the first step is to estimate the coarse angular domain information (ADI) and further establish the robust uplink by beam training. In the second step, by exploiting the coarse ADI, an adaptive grid matching pursuit (AGMP) algorithm is proposed to estimate the high-resolution cascaded channel state information (CSI) with low complexity. Simulation results verify that the proposed two-step channel estimation protocol significantly outperforms the state-of-the-art scheme, i.e., beam training based channel estimation, and meanwhile can reap near-optimal system performance achieved by perfect CSI.
