标题： IRS辅助毫米波多天线量化波束成形的级联信道估计算法 显示英文标题

标题： Cascaded Channel Estimation for IRS-assisted Mmwave Multi-antenna with Quantized Beamforming

摘要： 本文中，我们优化了智能反射面（IRS）辅助的毫米波（mmWave）多天线系统中级联信道的信道估计器。在此系统中，接收机配备了采用量化波束成形的混合结构。与传统的多输入多输出（MIMO）系统不同，由于IRS通常是具有有限信号处理能力的被动阵列，因此信道估计的设计面临挑战。我们通过重新表述该系统中的级联信道估计问题并利用典型的均方误差（MSE）准则，以封闭形式推导出优化的信道估计器。考虑到毫米波信道中可能存在信道稀疏性，我们通过利用信道稀疏性来推广所提出的方法，以进一步提高性能和降低计算复杂度。仿真结果验证了所提出的估计器显著优于现有的估计器。 显示英文摘要

摘要： In this letter, we optimize the channel estimator of the cascaded channel in an intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) multi-antenna system. In this system, the receiver is equipped with a hybrid architecture adopting quantized beamforming. Different from traditional multiple-input multiple-output (MIMO) systems, the design of channel estimation is challenging since the IRS is usually a passive array with limited signal processing capability. We derive the optimized channel estimator in a closed form by reformulating the problem of cascaded channel estimation in this system, leveraging the typical mean-squared error (MSE) criterion. Considering the presence of possible channel sparsity in mmWave channels, we generalize the proposed method by exploiting the channel sparsity for further performance enhancement and computational complexity reduction. Simulation results verify that the proposed estimator significantly outperforms the existing ones.