A range error reduction technique for positioning applications in sports

Abstract In recent times, ultra‐wideband (UWB)‐based positioning systems have become popular in sport performance monitoring. UWB positioning system uses time of arrival to calculate the range data between devices (i.e. anchors, tags), and then use trilateration algorithms to estimate position coord...

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Main Authors: Adnan Waqar, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung
Format: Article
Language:English
Published: Wiley 2021-02-01
Series:The Journal of Engineering
Online Access:https://doi.org/10.1049/tje2.12010
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spelling doaj-b023f1aea3f549659844b12ad536f3972021-04-20T13:45:32ZengWileyThe Journal of Engineering2051-33052021-02-0120212738410.1049/tje2.12010A range error reduction technique for positioning applications in sportsAdnan Waqar0Iftekhar Ahmad1Daryoush Habibi2Quoc Viet Phung3School of Engineering Edith Cowan University Perth AustraliaSchool of Engineering Edith Cowan University Perth AustraliaSchool of Engineering Edith Cowan University Perth AustraliaSchool of Engineering Edith Cowan University Perth AustraliaAbstract In recent times, ultra‐wideband (UWB)‐based positioning systems have become popular in sport performance monitoring. UWB positioning system uses time of arrival to calculate the range data between devices (i.e. anchors, tags), and then use trilateration algorithms to estimate position coordinates. In practical applications, non‐line‐of‐sight transmissions and multipath propagations lead to inaccurate range data and lower positioning accuracy. This paper introduces a range error minimisation algorithm to address this limitation of error in range data in UWB‐based positioning system. The proposed solution analyses the range error for each anchor and sequentially reduces this error based on the distance between each anchor and the tag. This ultimately contributes to higher positioning accuracies. The authors implemented the proposed algorithm in a hardware test‐bed, evaluating the positioning accuracy for an indoor sport. The proposed algorithm outperforms both the trilateration algorithm and a commercially used positioning algorithm by up to 50% and 25%, respectively.https://doi.org/10.1049/tje2.12010
collection DOAJ
language English
format Article
sources DOAJ
author Adnan Waqar
Iftekhar Ahmad
Daryoush Habibi
Quoc Viet Phung
spellingShingle Adnan Waqar
Iftekhar Ahmad
Daryoush Habibi
Quoc Viet Phung
A range error reduction technique for positioning applications in sports
The Journal of Engineering
author_facet Adnan Waqar
Iftekhar Ahmad
Daryoush Habibi
Quoc Viet Phung
author_sort Adnan Waqar
title A range error reduction technique for positioning applications in sports
title_short A range error reduction technique for positioning applications in sports
title_full A range error reduction technique for positioning applications in sports
title_fullStr A range error reduction technique for positioning applications in sports
title_full_unstemmed A range error reduction technique for positioning applications in sports
title_sort range error reduction technique for positioning applications in sports
publisher Wiley
series The Journal of Engineering
issn 2051-3305
publishDate 2021-02-01
description Abstract In recent times, ultra‐wideband (UWB)‐based positioning systems have become popular in sport performance monitoring. UWB positioning system uses time of arrival to calculate the range data between devices (i.e. anchors, tags), and then use trilateration algorithms to estimate position coordinates. In practical applications, non‐line‐of‐sight transmissions and multipath propagations lead to inaccurate range data and lower positioning accuracy. This paper introduces a range error minimisation algorithm to address this limitation of error in range data in UWB‐based positioning system. The proposed solution analyses the range error for each anchor and sequentially reduces this error based on the distance between each anchor and the tag. This ultimately contributes to higher positioning accuracies. The authors implemented the proposed algorithm in a hardware test‐bed, evaluating the positioning accuracy for an indoor sport. The proposed algorithm outperforms both the trilateration algorithm and a commercially used positioning algorithm by up to 50% and 25%, respectively.
url https://doi.org/10.1049/tje2.12010
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