Industrial UWB localization dataset containing Channel Impulse Response data (CIRs).
This dataset contains CIRs from 23 different positions in an industrial environment, as illustrated in the picture below.
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 below.
Further details on this dataset can be found in [1], where it was used extensivly for ranging error estimation using machine learning techniques.
Please always refer to our publication [1] and [2] when using our dataset.
The dataset can be downloaded here.
[1] Fontaine, J., Ridolfi, M., Van Herbruggen, B., Shahid, A., & De Poorter, E. (2020). Edge inference for UWB ranging error correction using autoencoders. IEEE Access, 8, 139143-139155.
[2] Van Herbruggen, B., Jooris, B., Rossey, J., Ridolfi, M., Macoir, N., Van den Brande, Q., ... & De Poorter, E. (2019). Wi-PoS: A low-cost, open source ultra-wideband (UWB) hardware platform with long range sub-GHz backbone. Sensors, 19(7), 1548.
Contact If you need any further details about the dataset, then you can contact jaron.fontaine@ugent.be or ben.vanherbruggen@UGent.be.