论文标题
IRS辅助MMWave多端纳纳的级联通道估计带有量化的光束形成
Cascaded Channel Estimation for IRS-assisted Mmwave Multi-antenna with Quantized Beamforming
论文作者
论文摘要
在这封信中，我们优化了智能反射表面（IRS）辅助毫米波（MMWave）Multi-Antenna系统中级联通道的通道估计器。在此系统中，接收器配备了混合体系结构，该架构采用了量化的光束形成。与传统的多输入多输出（MIMO）系统不同，通道估计的设计具有挑战性，因为IRS通常是一个被动阵列，信号处理能力有限。我们通过重新解决该系统中级联通道估计的问题来得出优化的通道估计器，利用典型的于点误差（MSE）标准。考虑到MMWave通道中可能存在可能的通道稀疏性，我们通过利用通道稀疏性以进一步增强性能增强和计算复杂性降低来概括所提出的方法。仿真结果验证了所提出的估计器明显胜过现有的估计值。
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.
