A distributed massive MIMO channel sounder for acquiring large CSI datasets, dubbed DICHASUS, is presented. The measured data has potential applications in the study of various machine learning algorithms for user localization, JCAS, channel charting, enabling massive MIMO in FDD operation, and many others. The proposed channel sounder architecture is distinct from similar previous designs in that each individual single-antenna receiver is completely autonomous, enabling arbitrary, spatially distributed antenna deployments, and offering virtually unlimited scalability in the number of antennas. Optionally, extracted channel coefficient vectors can be tagged with ground truth position data, obtained either through a GNSS receiver (for outdoor operation) or through various indoor positioning techniques.
翻译:介绍了用于获取大型CSI数据集(称为DICHASUS)的分布式大型MIMO大型频道声音仪,测量的数据在研究用户本地化的各种机器学习算法、JCAS、频道图绘制、使大型IMO能够参与FDD的运行以及许多其他方面具有潜在应用性,拟议的频道声音仪结构与以往的类似设计不同,因为每个单层天线接收器都是完全自主的,可以任意地、空间分布的天线部署,在天线数量上几乎可以无限的缩放。