Schmidt, S.O.; Cimdins, M.; John, F.; Hellbrück, H. SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model. Sensors2024, 24, 2428.
Schmidt, S.O.; Cimdins, M.; John, F.; Hellbrück, H. SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model. Sensors 2024, 24, 2428.
Schmidt, S.O.; Cimdins, M.; John, F.; Hellbrück, H. SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model. Sensors2024, 24, 2428.
Schmidt, S.O.; Cimdins, M.; John, F.; Hellbrück, H. SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model. Sensors 2024, 24, 2428.
Abstract
Among others, UWB-based multi anchor localization systems have been established for industrial indoor localization systems.
However, multi anchor systems have high costs and installation effort.
By exploiting the multipath propagation of the UWB signal, the infrastructure and thus the costs of conventional systems can be reduced.
Our UWB Single Anchor Localization System (SALOS) successfully pursues this approach.
The idea behind SALOS is to create a localization system with a sophisticated signal modeling.
Therefore, neither measured reference like fingerprinting nor training is required for position estimation.
Although SALOS has been implemented and tested successfully already in an outdoor scenario with multipath propagation, it has not yet been evaluated in indoor environment with challenging and hardly predictable multipath propagation.
For this purpose, we have developed new algorithms for the existing hardware mainly a three-dimensional statistical multipath propagation model for arbitrary spatial geometries.
The signal propagation between the anchor and predefined candidate points for the tag position is modeled in path length and complex-valued receive amplitudes.
For position estimation, these modeled signals are combined to multiple sets and compared to UWB measurements via a similarity metric.
In the end, a majority decision of multiple position estimates is performed.
For evaluation, we implement SALOS in a modular fashion and install the system in a building.
For a fixed grid of 20 positions, SALOS is evaluated in terms of position accuracy.
The system results in correct position estimations for more than 73% of the measurements.
Keywords
single anchor localization; indoor localization; UWB; channel impulse response; multipath propagation model; optimal anchor positioning; signal processing; DW1000
Subject
Computer Science and Mathematics, Signal Processing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
