UWB-Based Indoor Localization: How to Optimally Design the Operating Setup?

Cerro, Gianni; Ferrigno, Luigi; Laracca, Marco; Miele, Gianfranco; Milano, F.; Pingerna, V.

doi:10.1109/tim.2022.3194924

Cited by 18 publications

(10 citation statements)

References 22 publications

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“…This suboptimal geometry (according to the literature, optimal geometries tend to have closed shapes. See [31][32][33][34][35] for optimal geometry calculations) would generate complexities for a loosely coupled algorithm, since this would require three contemporary signals to compute a position. Nevertheless, the implemented tightly coupled algorithm fuses the available UWB signals (signals with a time difference smaller than 0.3 seg from the GNSS timestamp) with GNSS observables at every GNSS timestamp, allowing the use of even a single UWB signal.…”

Section: Maritimementioning

confidence: 99%

On the Use of Ultra-WideBand-Based Augmentation for Precision Maneuvering

Zabalegui,

De Miguel,

Fernández-Berrueta

et al. 2024

Remote Sensing

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The limitations of the existing Global Navigation Satellite Systems (GNSS) integrated with Inertial Measurement Units (IMU) have presented significant challenges in meeting the stringent demands of precision maneuvering. The identified constraints in terms of accuracy and availability have required the development of an alternative solution to enhance the performance of navigation systems in dynamic and diverse environments. This paper summarizes the research regarding the integration of ultra-wideband (UWB) technology as an augmentation of the conventional GNSS+IMU system; it proposes an approach that aims to overcome the limitations of conventional navigation systems. By making use of UWB technology, the proposed low-cost UWB-augmented GNSS+IMU system not only fulfils the required performance standards but also offers the unique capability to navigate seamlessly across indoor and outdoor environments. The developed system was validated through comprehensive testing and analysis in both the automotive and maritime sectors. The obtained results highlight the system’s capacity as a dependable and resilient solution for precise navigation, and they promote its use within the domain of accurate maneuvering.

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Section: Maritimementioning

confidence: 99%

On the Use of Ultra-WideBand-Based Augmentation for Precision Maneuvering

Zabalegui,

De Miguel,

Fernández-Berrueta

et al. 2024

Remote Sensing

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show abstract

“…However, single-anchor localization also faces many challenges, such as the limited information available from one anchor, the multipath propagation of the wireless signals, and the non-line-of-sight conditions. To overcome these challenges, different approaches have been proposed, such as moving mobile anchors [ 6 , 7 ], integration of external inertial measurement units (IMUs) [ 8 ], applying advanced signal processing [ 9 ] and optimization methods [ 10 , 11 ], as well as exploiting multipath signals [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model

Schmidt,

Cimdins,

John

et al. 2024

Sensors

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Among other methods, 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 is to create a localization system with sophisticated signal modeling. Therefore, measured reference, like fingerprinting or training, is not required for position estimation. Although SALOS has already been implemented and tested successfully in an outdoor scenario with multipath propagation, it has not yet been evaluated in an 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. Finally, a majority decision of multiple position estimates is performed. For evaluation, we implement our localization system in a modular fashion and install the system in a building. For a fixed grid of 20 positions, the localization is evaluated in terms of position accuracy. The system results in correct position estimations for more than 73% of the measurements.

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“…However, singleanchor localization also faces many challenges, such as the limited information available from one anchor, the multipath propagation of the wireless signals, and the non-line-ofsight conditions. To overcome these challenges, different approaches have been proposed, such as moving mobile anchors [6,7], integration of external inertial measurement units (IMUs) [8], applying advanced signal processing [9] and optimization methods [10,11], as well as exploiting multipath signals [12,13].…”

Section: Introductionmentioning

confidence: 99%

SALOS - A UWB Single Anchor Indoor Localization System based on a Statistical Multipath Propagation Model

Schmidt,

Cimdins,

John

et al. 2024

Preprint

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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.

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UWB-Based Indoor Localization: How to Optimally Design the Operating Setup?

Cited by 18 publications

References 22 publications

On the Use of Ultra-WideBand-Based Augmentation for Precision Maneuvering

On the Use of Ultra-WideBand-Based Augmentation for Precision Maneuvering

SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model

SALOS - A UWB Single Anchor Indoor Localization System based on a Statistical Multipath Propagation Model

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