Experimental study of UWB-based high precision localization for industrial applications

Silva, Bruno; Pang, Zhibo; Åkerberg, Johan; Neander, Jonas; Hancke, Gerhard P.

doi:10.1109/icuwb.2014.6958993

Cited by 76 publications

(37 citation statements)

References 7 publications

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“…In addition, the measured distances between the reference points and the MS are

d_{i}

. The unknown location of the MS is the intersection of the spheres, whose equations are:

{(x - x_{i})}^{2} + {(y - y_{i})}^{2} + {(z - z_{i})}^{2} = {d_{i}}^{2} i = 1, . . ., n .

The system of nonlinear equations in (1) can be solved by different methods [48,65,66,67]. We solved it by transforming the system of equations into a matrix form [68].…”

Section: Examples Of a Platform For Positioning Systemsmentioning

confidence: 99%

Platform Architecture for Decentralized Positioning Systems

Kasmi

Norrdine

Blankenbach

2017

Sensors

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A platform architecture for positioning systems is essential for the realization of a flexible localization system, which interacts with other systems and supports various positioning technologies and algorithms. The decentralized processing of a position enables pushing the application-level knowledge into a mobile station and avoids the communication with a central unit such as a server or a base station. In addition, the calculation of the position on low-cost and resource-constrained devices presents a challenge due to the limited computing, storage capacity, as well as power supply. Therefore, we propose a platform architecture that enables the design of a system with the reusability of the components, extensibility (e.g., with other positioning technologies) and interoperability. Furthermore, the position is computed on a low-cost device such as a microcontroller, which simultaneously performs additional tasks such as data collecting or preprocessing based on an operating system. The platform architecture is designed, implemented and evaluated on the basis of two positioning systems: a field strength system and a time of arrival-based positioning system.

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“…In addition, the measured distances between the reference points and the MS are

d_{i}

. The unknown location of the MS is the intersection of the spheres, whose equations are:

{(x - x_{i})}^{2} + {(y - y_{i})}^{2} + {(z - z_{i})}^{2} = {d_{i}}^{2} i = 1, . . ., n .

The system of nonlinear equations in (1) can be solved by different methods [48,65,66,67]. We solved it by transforming the system of equations into a matrix form [68].…”

Section: Examples Of a Platform For Positioning Systemsmentioning

confidence: 99%

Platform Architecture for Decentralized Positioning Systems

Kasmi

Norrdine

Blankenbach

2017

Sensors

View full text Add to dashboard Cite

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“…Compared to received signal strength (RSS) based solutions typically used with the above mentioned standards, which can only achieve meter scale accuracy at best, localization based on time-of-arrival (ToA) IR-UWB ranging offers accuracy in the centimeter scale, due to IR-UWB's very fine time resolution, and it is thus a potential solution for highly accurate wireless localization in industrial environments [12], [13]. However, most research efforts have focused on indoor localization in office or residential domains [1].…”

Section: Introductionmentioning

confidence: 99%

Practical challenges of IR-UWB based ranging in harsh industrial environments

Silva

Hancke

2015

2015 IEEE 13th International Conference on Industrial Informatics (INDIN)

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Impulse radio ultra-wideband (IR-UWB) ranging and localization have recently received significant attention due to the high accuracy and precision. This high accuracy can be exploited for many location aware applications in a wide variety of environments. Although most research efforts have focused on location-aware applications for indoor or outdoor environments, there are other environments, such as industrial, which introduce unique challenges. In an effort to understand how industrial environments affect IR-UWB based ranging and localization performance, this paper introduces the principles behind ranging in industrial environments and highlights practical challenges which have an impact on the ranging accuracy of IR-UWB. Results from field tests which illustrate the impact of harsh conditions on the ranging accuracy are presented.Index Terms-Ultra wideband, wireless sensor networks, localization.

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“…However, in an industrial environment with many obstacles (workers moving around, machinery, raw material, etc. ), the results provided by the DW1000 IC are not satisfactory [34,35]. NLOS propagation conditions (reflections, rebounds, etc.)…”

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confidence: 95%

Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments

et al. 2019

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Location and tracking needs are becoming more prominent in industrial environments nowadays. Process optimization, traceability or safety are some of the topics where a positioning system can operate to improve and increase the productivity of a factory or warehouse. Among the different options, solutions based on ultra-wideband (UWB) have emerged during recent years as a good choice to obtain highly accurate estimations in indoor scenarios. However, the typical harsh wireless channel conditions found inside industrial environments, together with interferences caused by workers and machinery, constitute a challenge for this kind of system. This paper describes a real industrial problem (location and tracking of forklift trucks) that requires precise internal positioning and presents a study on the feasibility of meeting this challenge using UWB technology. To this end, a simulator of this technology was created based on UWB measurements from a set of real sensors. This simulator was used together with a location algorithm and a physical model of the forklift to obtain estimations of position in different scenarios with different obstacles. Together with the simulated UWB sensor, an additional inertial sensor and optical sensor were modeled in order to test its effect on supporting the location based on UWB. All the software created for this work is published under an open-source license and is publicly available.

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Experimental study of UWB-based high precision localization for industrial applications

Cited by 76 publications

References 7 publications

Platform Architecture for Decentralized Positioning Systems

Platform Architecture for Decentralized Positioning Systems

Practical challenges of IR-UWB based ranging in harsh industrial environments

Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments

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