On-air transmitted and received 5G NR data

We have designed a ZYNQ SDR-based platform that utilizes real on-air 5G new radio (NR) signals to develop and test the performance of channel estimation for wireless channel estimators. On-air samples are obtained via the SDR platform to determine the unknown values of the channel response using known values at the pilot locations. We have collected extensive channel estimation data under a variety of scenarios: 1) line-of-sight (LOS), 2) LOS multipath and 3) non-LOS multipath. We have considered 2m,4m,6m test cases to simulate meter-level indoor positioning for indoor scenarios. 

本研究设计了一款基于ZYNQ软件定义无线电（Software Defined Radio, SDR）的实验平台，采用真实空中传输的5G新空口（New Radio, NR）信号，用于开发并测试无线信道估计器的信道估计性能。通过该SDR平台采集空中传输样本，利用导频位置处的已知信号值求解信道响应的未知分量。本数据集采集了多种场景下的大量信道估计数据：1）视距（Line-of-Sight, LOS）场景；2）视距多径场景；3）非视距多径场景。针对室内场景，本研究设置了2米、4米、6米三种测试距离，以模拟米级精度的室内定位环境。