Self-Weighted Multilateration for Indoor Positioning Systems

The paper proposes an improved method for calculating the position of a movable tag whose distance to a (redundant) set of fixed beacons is measured by some suitable physical principle (typically ultra wide band or ultrasound propagation). The method is based on the multilateration technique, where...

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Main Authors: Alberto Fornaser, Luca Maule, Alessandro Luchetti, Paolo Bosetti, Mariolino De Cecco
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/4/872
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spelling doaj-1b1126ec633f4adaa9badd73279dae022020-11-24T20:44:29ZengMDPI AGSensors1424-82202019-02-0119487210.3390/s19040872s19040872Self-Weighted Multilateration for Indoor Positioning SystemsAlberto Fornaser0Luca Maule1Alessandro Luchetti2Paolo Bosetti3Mariolino De Cecco4Department of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, ItalyDepartment of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, ItalyDepartment of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, ItalyDepartment of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, ItalyDepartment of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, ItalyThe paper proposes an improved method for calculating the position of a movable tag whose distance to a (redundant) set of fixed beacons is measured by some suitable physical principle (typically ultra wide band or ultrasound propagation). The method is based on the multilateration technique, where the contribution of each individual beacon is weighed on the basis of a recurring, self-supported calibration of the measurement repeatability of each beacon at a given distance range. The work outlines the method and its implementation, and shows the improvement in measurement quality with respect to the results of a commercial Ultra-Wide-Band (UWB) system when tested on the same set of raw beacon-to-tag distances. Two versions of the algorithm are proposed: one-dimensional, or isotropic, and 3D. With respect to the standard approach, the isotropic solution managed to reduce the maximum localization error by around 25%, with a maximum error of <inline-formula> <math display="inline"> <semantics> <mrow> <mn>0.60</mn> </mrow> </semantics> </math> </inline-formula> m, while the 3D version manages to improve even further the localization accuracy, with a maximum error of <inline-formula> <math display="inline"> <semantics> <mrow> <mn>0.45</mn> </mrow> </semantics> </math> </inline-formula> m.https://www.mdpi.com/1424-8220/19/4/872multilaterationultra-wide-bandindoor localizationmeasurementuncertainty
collection DOAJ
language English
format Article
sources DOAJ
author Alberto Fornaser
Luca Maule
Alessandro Luchetti
Paolo Bosetti
Mariolino De Cecco
spellingShingle Alberto Fornaser
Luca Maule
Alessandro Luchetti
Paolo Bosetti
Mariolino De Cecco
Self-Weighted Multilateration for Indoor Positioning Systems
Sensors
multilateration
ultra-wide-band
indoor localization
measurement
uncertainty
author_facet Alberto Fornaser
Luca Maule
Alessandro Luchetti
Paolo Bosetti
Mariolino De Cecco
author_sort Alberto Fornaser
title Self-Weighted Multilateration for Indoor Positioning Systems
title_short Self-Weighted Multilateration for Indoor Positioning Systems
title_full Self-Weighted Multilateration for Indoor Positioning Systems
title_fullStr Self-Weighted Multilateration for Indoor Positioning Systems
title_full_unstemmed Self-Weighted Multilateration for Indoor Positioning Systems
title_sort self-weighted multilateration for indoor positioning systems
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-02-01
description The paper proposes an improved method for calculating the position of a movable tag whose distance to a (redundant) set of fixed beacons is measured by some suitable physical principle (typically ultra wide band or ultrasound propagation). The method is based on the multilateration technique, where the contribution of each individual beacon is weighed on the basis of a recurring, self-supported calibration of the measurement repeatability of each beacon at a given distance range. The work outlines the method and its implementation, and shows the improvement in measurement quality with respect to the results of a commercial Ultra-Wide-Band (UWB) system when tested on the same set of raw beacon-to-tag distances. Two versions of the algorithm are proposed: one-dimensional, or isotropic, and 3D. With respect to the standard approach, the isotropic solution managed to reduce the maximum localization error by around 25%, with a maximum error of <inline-formula> <math display="inline"> <semantics> <mrow> <mn>0.60</mn> </mrow> </semantics> </math> </inline-formula> m, while the 3D version manages to improve even further the localization accuracy, with a maximum error of <inline-formula> <math display="inline"> <semantics> <mrow> <mn>0.45</mn> </mrow> </semantics> </math> </inline-formula> m.
topic multilateration
ultra-wide-band
indoor localization
measurement
uncertainty
url https://www.mdpi.com/1424-8220/19/4/872
work_keys_str_mv AT albertofornaser selfweightedmultilaterationforindoorpositioningsystems
AT lucamaule selfweightedmultilaterationforindoorpositioningsystems
AT alessandroluchetti selfweightedmultilaterationforindoorpositioningsystems
AT paolobosetti selfweightedmultilaterationforindoorpositioningsystems
AT mariolinodececco selfweightedmultilaterationforindoorpositioningsystems
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