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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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 |
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