5G CFR/CSI dataset for wireless channel parameter estimation, array calibration, and indoor positioning

Channel frequency response (CFR) dataset used for "In-situ Calibration of Antenna Arrays for Positioning with 5G Networks" paper. Since the CFR of the wireless channel, which is also known as the channel state information (CSI) in many cellular or Wi-Fi positioning literature, contains the angle and delay information of both the direct path and reflected paths, we believe the following research fields can benefit from this dataset:1. direction-of-arrival (DOA) estimation and array calibration,2. time-of-arrival (TOA) estimation,3. joint parameter estimation for indoor positioning and navigation,4. line-of-sight (LOS) and non-line-of-sight (NLOS) identifications,5. wireless channel parameters estimation. We use a baseband unit (BBU), a four-channel picocell sub-6GHz remote radio unit (RRU), and a user terminal (UT) to collect the wireless CFRs, all of them are commercial off-the-shelf products with 5G R16 specification supported. The 5G UT with a single omnidirectional cylindrical antenna is mounted on an autonomous vehicle, which communicates to the gNB and generates the ground-truth locations with an accuracy of several centimeters. This CFR dataset is collected in an underground parking lot of an office building. During experiments, the UT is placed at 476 different locations in the area of [−35 m, 10 m] × [8 m, 33 m]. At each location, the uplink wireless channel is measured repetitively via transmitting a series of uplink sounding reference signal (UL-SRS) symbols and their corresponding CFR data are logged. Aside from CFR data from these 476 locations, other assisted measurement data, including the ground-truth locations of the UT, the six degrees of freedom (6-DoF) pose of the RRU, the locations of the dominant obstacles (i.e. the pillars) in the environment, are also provided.

搜集汇总

背景与挑战

背景概述

该数据集提供了5G无线信道频率响应(CFR)的实测数据，包含476个不同位置的测量样本及辅助数据，适用于无线信道参数估计、阵列校准和室内定位等研究。数据集特别强调了对直接路径和反射路径的角度和延迟信息的捕捉，为相关领域的研究提供了丰富的实验数据。