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A Geometric Approach to Noisy EDM Resolution in FTM Measurements

Jerome Henry 1 Nicolas Montavont 2, 3 Yann Busnel 4, 5, 3, 6 Romaric Ludinard 7, 3 Ivan Hrasko 8
2 OCIF - Objets communicants pour l'Internet du futur
IMT Atlantique - IMT Atlantique Bretagne-Pays de la Loire, IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
6 DIONYSOS - Dependability Interoperability and perfOrmance aNalYsiS Of networkS
Inria Rennes – Bretagne Atlantique , IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
7 ADOPNET - Advanced technologies for operated networks
UR1 - Université de Rennes 1, IMT Atlantique - IMT Atlantique Bretagne-Pays de la Loire, IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
Abstract : Metric Multidimensional Scaling is commonly used to solve multi-sensor location problems in 2D or 3D spaces. In this paper, we show that such technique provides poor results in the case of indoor location problems based on 802.11 Fine Timing Measurements, because the number of anchors is small and the ranging error asymmetrically distributed. We then propose a two-step iterative approach based on geometric resolution of angle inaccuracies. The first step reduces the effect of poor ranging exchanges. The second step reconstructs the anchor positions, starting from the distances of highest likely-accuracy. We show that this geometric approach provides better location accuracy results than other Euclidean Distance Metric techniques based on Least Square Error logic. We also show that the proposed technique, with the input of one or more known location, can allow a set of fixed sensors to auto-determine their position on a floor plan.
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https://hal-imt-atlantique.archives-ouvertes.fr/hal-03167978
Contributor : Yann Busnel <>
Submitted on : Friday, March 12, 2021 - 3:48:31 PM
Last modification on : Wednesday, July 21, 2021 - 7:40:02 AM
Long-term archiving on: : Sunday, June 13, 2021 - 7:08:32 PM

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Jerome Henry, Nicolas Montavont, Yann Busnel, Romaric Ludinard, Ivan Hrasko. A Geometric Approach to Noisy EDM Resolution in FTM Measurements. Computers, MDPI, 2021, 10 (3), pp.33. ⟨10.3390/computers10030033⟩. ⟨hal-03167978⟩

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