Industrial UWB localization dataset containing Channel Impulse Response data (CIRs).
- Citation Author(s):
-
Jaron Fontaine
(IMEC / Ghent University)
Adnan Shahid
(IMEC / Ghent University)
Ben Van Herbruggen
(IMEC / Ghent University)
- Submitted by:
- Jaron Fontaine
- Last updated:
- DOI:
- 10.21227/w0v9-5e35
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- Research Article Link:
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Abstract
This dataset contains CIRs from 23 different positions in an industrial environment, as illustrated in the picture.
These originate from a tag-anchor pair configured with two-way-ranging for distance estimations. In total, 21 anchors are placed in the area, allowing both Line-of-Sight (LOS) and Non-LOS (NLOS) signal propagation, as illustrated in the picture.
The aim during the data collection proces was to measure UWB ranging errors in (N)LOS environments. As such, the ground truth of each position was measured using a laser.
Instructions:
To load the dataset files, it is recommended to use Python / Pandas. An example can be seen below:
import pandas as pd
df = pd.read_csv("exportloc1IQ (1).csv")
Next to CIRs, each row of the .csv files contain a lot of meta data including the ranging error which can be used to estimate UWB errors using CIR information.
