论文标题
低分辨率ADC的基于镜头的杂种MIMO的毫米波通道估计
Millimeter Wave Channel Estimation for Lens based Hybrid MIMO with Low Resolution ADCs
论文作者
论文摘要
与毫米波（MMWave）频率通信相关的高路径损失可以通过大型天线阵列（例如多输入多输出（MIMO）系统）补偿。使用较少的射频链的混合波束形成体系结构将实现以降低功耗和硬件复杂性，同时仍支持多流通信。我们建议对基于镜头的混合MIMO系统进行有效的预期最大化（EM）的MMWAVE通道估计器，其接收器的分辨率低。研究了基于镜头的光束形成器，以增加天线增益并减少实施复杂性，因为不包括常规束选择网络。在类似物到数字转换器处的低分辨率采样用于降低功耗。基于EM算法的可强大最大后验估计量的拟议溶液的性能优于常规EM方法，并且在中等至高信噪比的比率区域中的最小均方误差基线。
The high path loss associated with millimeter wave (mmWave) frequency communication can be compensated by large scale antenna arrays such as multiple-input multiple-output (MIMO) systems. The hybrid beamforming architecture which uses fewer radio frequency chains is implemented to reduce power consumption and hardware complexity, while still supporting multi-stream communication. We propose an efficient expectation-maximization (EM)-based mmWave channel estimator for a lens-based hybrid MIMO system with low resolution sampling at the receiver. The lens-based beamformer is investigated to provide increased antenna gain and reduced implementation complexity as the conventional beam selection network is excluded. Low resolution sampling at the analog-to-digital converters is implemented for reduced power consumption. The proposed solution with a robust maximum a posteriori estimator based on the EM algorithm performs better than the conventional EM approach and minimum mean square error baselines in medium to high signal-to-noise ratio regions.
