用于稀疏信道参数估计的核原子范数
Nuclear Atomic Norm for parametric estimation of sparse channels
AI总结：
本文提出用核原子范数进行毫米波稀疏信道的无网格参数估计，同时识别发射角和到达角，并给出参数恢复条件，与现有参数化方法相比具有优势。
摘要：
毫米波中的参数信道估计不仅能够实现多输入多输出（MIMO）系统预期的大幅频谱效率增益，而且还能揭示重要的传播参数，从而允许对信道矩阵进行低复杂度表示。在本工作中，我们提出使用原子范数作为一种无网格多维谱估计方法，以解决同时识别出发射角（AoD）和到达角（AoA）的参数信道估计问题。传播参数恢复的条件根据测量矩阵的性质以及天线几何结构或待分辨散射体数量等结构特征给出。所提出的方法与多种最先进的参数化方法进行了比较。
英文摘要：
Parametric channel estimation in mmWave not only enables the anticipated large spectral efficiency gains of \acs{MIMO} systems but also reveals important propagation parameters, allowing for a low complexity representation of the channel matrix. In this work, we propose to use atomic norm as a gridless multidimensional spectral estimation approach to address parametric channel estimation where both AoD and AoA are identified. The conditions for recovery of the propagation parameters are given depending on properties of the measurement matrix, and on structural features such as the antenna geometry or the number of scatters to resolve. The proposed methodology is compared against several state-of-the-art parametric approaches.
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