论文标题
基于几何的相位和时间同步，用于多端纳斯纳通道测量
Geometry-Based Phase and Time Synchronization for Multi-Antenna Channel Measurements
论文作者
论文摘要
收发器链的同步是大规模MIMO或尤其是分布的大型MIMO的实际实现的主要挑战。虽然频率同步相对容易实现，但估计单个收发器的载流期和采样时间偏移却是具有挑战性的。但是，在一定持续时间内恒定并知道几个传输和接收天线的位置的相位和时间偏移的假设下，即使在具有多径传播成分的散射环境中，也可以估计和补偿这些偏移。最终的阶段和时间校准是将经典天线阵列处理方法应用于大型MIMO阵列的前提条件，并在模拟和部署之间或从一个无线电环境中传输机器学习模型。提出了用于相位和时间偏移估计的算法，并对由空中同步的通道声音生成的大型数据集进行了几项研究。
Synchronization of transceiver chains is a major challenge in the practical realization of massive MIMO and especially distributed massive MIMO. While frequency synchronization is comparatively easy to achieve, estimating the carrier phase and sampling time offsets of individual transceivers is challenging. However, under the assumption of phase and time offsets that are constant over some duration and knowing the positions of several transmit and receive antennas, it is possible to estimate and compensate for these offsets even in scattering environments with multipath propagation components. The resulting phase and time calibration is a prerequisite for applying classical antenna array processing methods to massive MIMO arrays and for transferring machine learning models either between simulation and deployment or from one radio environment to another. Algorithms for phase and time offset estimation are presented and several investigations on large datasets generated by an over-the-air-synchronized channel sounder are carried out.
