论文标题
盲目的SNR估计和非参数渠道在多Antenna mmwave系统中
Blind SNR Estimation and Nonparametric Channel Denoising in Multi-Antenna mmWave Systems
论文作者
论文摘要
我们提出了平均噪声功率，接收信号功率，信号噪声比（SNR）和均方误差（MSE）的盲估计器，适用于多 - 安坦纳毫米波（MMWAVE）无线系统。所提出的估计器可以在低复杂性下计算，并且仅依赖于Beamspace的稀疏性，即，在典型的MMWave通道中仅存在少数主要的传播路径。我们的估计器可用于（i）快速跟踪多Antenna MMWave系统中的某些关键数量，同时避免了其他飞行员开销，并且（ii）设计有效的非参数算法，需要此类数量。我们提供了对所提出的估计器的理论分析，并通过合成实验证明了它们的功效，并使用非参数通道向量Denoising Tasking任务，并使用逼真的多ANTENNA MMWAVE通道。
We propose blind estimators for the average noise power, receive signal power, signal-to-noise ratio (SNR), and mean-square error (MSE), suitable for multi-antenna millimeter wave (mmWave) wireless systems. The proposed estimators can be computed at low complexity and solely rely on beamspace sparsity, i.e., the fact that only a small number of dominant propagation paths exist in typical mmWave channels. Our estimators can be used (i) to quickly track some of the key quantities in multi-antenna mmWave systems while avoiding additional pilot overhead and (ii) to design efficient nonparametric algorithms that require such quantities. We provide a theoretical analysis of the proposed estimators, and we demonstrate their efficacy via synthetic experiments and using a nonparametric channel-vector denoising task with realistic multi-antenna mmWave channels.
