Localization in industrial halls via ultra-wideband signals

Zwirełło, Łukasz; Janson, Malgorzata; Ascher, Christian; Schwesinger, Ulrich; Trommer, Gert F.; Zwick, Thomas

doi:10.1109/wpnc.2010.5649369

Cited by 21 publications

(10 citation statements)

References 4 publications

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“…Also, the main sources of error in Time-of-Arrival (TOA) estimation, such as multipath, interference and clocks drift, are discussed. A study on an UWB indoor localization system for applications in industrial buildings is presented in [13]. Also, [14] presents an evaluation of an indoor localization solution based on TOA in a challenging largescale wireless testbed which consists of metallic walls and several metal obstacles such as vertical and horizontal pipes.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of accurate indoor localization systems in industrial environments

Karaağaç

Haxhibeqiri

Ridolfi

et al. 2017

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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-Due to the fast emergence of location-based services and the absence of a widely adopted localization technology for indoor environments, Indoor Localization Systems have become a central topic of research in the last decade. Although there is a significant amount of research targeting indoor localization technologies and their performance, most of these efforts only focus on theory, system design or evaluation in non-industrial environments, usually offices or healthcare spaces. In this work, a detailed performance evaluation of two commercially available accurate localization technologies, based on Bluetooth Low Energy (LE) and Ultra-wideband (UWB), in an industrial environment is presented to create an experimental understanding of their behaviour in similar conditions and to investigate their potential to be used in industrial applications with concrete localization requirements. For this purpose, these localization technologies are examined with respect to various performance criteria in several scenarios in a real industrial site.

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Section: Related Workmentioning

confidence: 99%

Evaluation of accurate indoor localization systems in industrial environments

Karaağaç

Haxhibeqiri

Ridolfi

et al. 2017

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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“…Emerging applications of UWB localization systems have been presented in Refs. [3][4][5][6][7]. In a typical localization scenario using the UWB characteristic, a transmitter (namely a tag) is to be located, and several receivers Qin Shi, Sihao Zhao, Xiaowei Cui, Mingquan Lu, and Mengdi Jia are with the Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.…”

Section: Introductionmentioning

confidence: 99%

Anchor self-localization algorithm based on UWB ranging and inertial measurements

Shi

Zhao

Cui

et al. 2019

Tinshhua Sci. Technol.

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Localization systems utilizing Ultra-WideBand (UWB) have been widely used in dense urban and indoor environments. A moving UWB tag can be located by ranging to fixed UWB anchors whose positions are surveyed in advance. However, manually surveying the anchors is typically a dull and time-consuming process and prone to artificial errors. In this paper, we present an accurate and easy-to-use method for UWB anchor self-localization, using the UWB ranging measurements and readings from a low-cost Inertial Measurement Unit (IMU). The locations of the anchors are automatically estimated by freely moving the tag in the environment. The method is inspired by the Simultaneous Localization And Mapping (SLAM) technique used by the robotics community. A tightly-coupled Error-State Kalman Filter (ESKF) is utilized to fuse UWB and inertial measurements, producing UWB anchor position estimates and six Degrees of Freedom (6DoF) tag pose estimates. Simulated experiments demonstrate that our proposed method enables accurate self-localization for UWB anchors and smooth tracking of the tag.

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“…Fig. 2 shows the number of expected and significant VAs over the trajectory, using the threshold decision in (8) and the large bandwidth. The threshold A γ,k is computed with γ = 0.1.…”

Section: Performance Resultsmentioning

confidence: 99%

“…Ray-tracing is a valuable, but computationally demanding tool in both localization and channel analysis [8]. Our aim is a complexity tradeoff: We do not use ray-tracing techniques to accurately predict amplitudes and delays of possible signal paths at a specific location, but rather use it beforehand to compute and investigate potential reflectors and scatterers.…”

Section: Introductionmentioning

confidence: 99%

Analysis of an indoor UWB channel for multipath-aided localization

Meißner

Arnitz

Gigl

et al. 2011

2011 IEEE International Conference on Ultra-Wideband (ICUWB)

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We present a detailed analysis of an indoor UWB channel measurement campaign. The focus is on the modeling of the deterministic part of the multipath channel using a-priori known relevant reflections and scatterers, found from an available floor plan. Our approach uses virtual signal sources, whose locations and visibilities can be calculated using simple raylaunching techniques. The channel analysis steps exploit these results, using an effective multipath cancellation method that introduces virtually no artifacts. We show that the corresponding multipath-components can explain up to 90 % of the UWB channel impulse responses in terms of energy capture. This is important for multipath-aided indoor localization, which provides robust position fixes using a single base station only.

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Localization in industrial halls via ultra-wideband signals

Cited by 21 publications

References 4 publications

Evaluation of accurate indoor localization systems in industrial environments

Evaluation of accurate indoor localization systems in industrial environments

Anchor self-localization algorithm based on UWB ranging and inertial measurements

Analysis of an indoor UWB channel for multipath-aided localization

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