Self-Weighted Multilateration for Indoor Positioning Systems.

indoor localization measurement multilateration ultra-wide-band uncertainty

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
20 Feb 2019
Historique:
received: 16 01 2019
revised: 15 02 2019
accepted: 16 02 2019
entrez: 23 2 2019
pubmed: 23 2 2019
medline: 23 2 2019
Statut: epublish

Résumé

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 0.60 m, while the 3D version manages to improve even further the localization accuracy, with a maximum error of 0.45 m.

Identifiants

pubmed: 30791532
pii: s19040872
doi: 10.3390/s19040872
pmc: PMC6413232
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

Références

J Physiol. 2006 Nov 15;577(Pt 1):417-32
pubmed: 16973712
Sensors (Basel). 2016 May 16;16(5):
pubmed: 27196906
Sensors (Basel). 2017 Feb 10;17(2):
pubmed: 28208620

Auteurs

Alberto Fornaser (A)

Department of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, Italy. alberto.fornaser@unitn.it.

Luca Maule (L)

Department of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, Italy. luca.maule@unitn.it.

Alessandro Luchetti (A)

Department of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, Italy. alessandro.luchetti@unitn.it.

Paolo Bosetti (P)

Department of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, Italy. paolo.bosetti@unitn.it.

Mariolino De Cecco (M)

Department of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, Italy. mariolino.dececco@unitn.it.

Classifications MeSH