论文标题
具有低分辨率ADC的MMWave杂种大型MIMO系统的无网通道估计
Gridless Channel Estimation for MmWave Hybrid Massive MIMO Systems with Low-Resolution ADCs
论文作者
论文摘要
本文提出了基于牛to的完全纠正型贪婪选择 - 基于基于毫米表（MMWAVE）混合质量多输入多输出（MIMO）系统的基于低分辨率模拟转换器（ADCS）的毫米级（MMWAVE）混合多数输入多输出（MIMO）系统的通道估计器。拟议的NFCFGS算法是一种无网状的压缩传感（CS）技术，该技术结合了FCFG和牛顿正交匹配追踪（NOMP）算法。特别是，NFCFG基于先前估计的路径在每个迭代的连续体上执行单路径估计。在没有关于路径数量的先验知识的情况下，将CV技术作为终止的指标，这是一种模型验证技术，可防止过度拟合。
This paper proposes the Newtonized fully corrective forward greedy selection-cross validation-based (NFCFGS-CV-based) channel estimator for millimeter (mmWave) hybrid massive multiple-input multiple-output (MIMO) systems with low-resolution analog-to-digital converters (ADCs). The proposed NFCFGS algorithm is a gridless compressed sensing (CS) technique that combines the FCFGS and Newtonized orthogonal matching pursuit (NOMP) algorithms. In particular, NFCFGS performs single path estimation over the continuum at each iteration based on the previously estimated paths. The CV technique is adopted as an indicator of termination in the absence of the prior knowledge on the number of paths, which is a model validation technique that prevents overfitting.
