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This is a dataset of ranging and positioning measurements collected from an UWB development board. The Real Time Location System based on UWB is set up in a laboratory. Data were captured in the static laboratory environment with different conditions that affects to the positioning performance. In the lab, scenarios with different propagation conditions between the nodes and different geometries were set up. We consider good, challenging, and intermediate scenarios with: Line of Sight (LOS) and Non-LOS propagation conditions as well as easy and challenging geometries. These datasets may be used, for example, for investing and validating ranging and positioning algorithms in different scenarios. A detailed description is provided in the file README.pdf
Grant RTI2018-099722-B-I00 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe" and partially funded by the national program on equipment and scientific and technical infrastructure, EQC2018-005257-P under the European Regional Development Fund (FEDER).
Machine Learning, Hybrid Cooperative Positioning, UWB, datasets, LOS/NLOS
Machine Learning, Hybrid Cooperative Positioning, UWB, datasets, LOS/NLOS
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