Description
Dataset for the paper "FlexTDOA: Robust and Scalable Time-Difference of Arrival Localization Using Ultra-Wideband Devices" The dataset contains localization measurements acquired with UWB devices. We compare the proposed localization method, called FlexTDOA, with a classic TDOA implementation, and with TWR-based localization. For more information about the localization methods, please refer to the paper. The dataset contains the measurements necessary to generate all the plots in the paper. For code examples on how to read and plot the data, please check out the associated Github repository: https://github.com/lauraflu/flextdoa If you find the dataset useful, please consider citing our work: Pătru, G. C., Flueratoru, L., Vasilescu, I., Niculescu, D., & Rosner, D. (2023). FlexTDOA: Robust and Scalable Time-Difference of Arrival Localization Using Ultra-Wideband Devices. IEEE Access.
| Date made available | 8 Feb 2023 |
|---|---|
| Publisher | Zenodo |
Funding
| Funders | Funder number |
|---|---|
| European Commission | 813278 |
Field of science, Statistics Finland
- 213 Electronic, automation and communications engineering, electronics
Research output
- 1 Article
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FlexTDOA: Robust and Scalable Time-Difference of Arrival Localization Using Ultra-Wideband Devices
Pătru, G.-C., Flueratoru, L., Vasilescu, I., Niculescu, D. & Rosner, D., 2023, In: IEEE Access. 11, p. 28610-28627 18 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile21 Citations (Scopus)73 Downloads (Pure)
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