| Issue |
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
|
|
|---|---|---|
| Article Number | 00094 | |
| Number of page(s) | 14 | |
| DOI | https://doi.org/10.1051/e3sconf/202568000094 | |
| Published online | 19 December 2025 | |
Design and Implementation of a Laboratory Course for UWB-Based Positioning via Two-Way Ranging with Kalman Filter Data Fusion
1 Moscow Institute of Physics and Technologies, Moscow, Russian Federation
2 National Research University Higher School of Economics
3 SOCCOS LLC, Moscow, Russian Federation
4 AtFrame DOO, NoviSad, Republic of Serbia
* e-mail: natalyasklyar.05@gmail.com
** e-mail: hel@cos.ru
*** e-mail: rqk@stlport.com
**** e-mail: entuser@yandex.ru
† e-mail: ali.rim.alizadeh@phystech.edu
‡ e-mail: danilov@cos.ru
§ e-mail: abuk.saidov@azimut.ru
¶ e-mail: dseverov@mail.mipt.ru
∥ e-mail: ruslan.pashkoff@gmail.com
** e-mail: marinovich.ml@phystech.edu
†† e-mail: prv@atframe.rs
This article presents an original solution for a laboratory work on the application of Two Way Ranging Ultra-Wide Band positioning methods, designed for courses in technical universities and institutes. The laboratory work is aimed at providing students with a comprehensive understanding of the interaction between the hardware of distributed Ultra-Wide Band Two Way Ranging navigation measurement systems and data processing algorithms based on Kalman filtering.
Key words: Kalman filters / Indoor Positioning / Ultra-Wide Band / Kalman filter / Two Way Ranging / Internet of Things
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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