A Geometric Approach to Noisy EDM Resolution in FTM Measurements

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 t...
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Autor*in:	Jerome Henry [verfasserIn] Nicolas Montavont [verfasserIn] Yann Busnel [verfasserIn] Romaric Ludinard [verfasserIn] Ivan Hrasko [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	FTM fine timing measurement 802.11 mMDS euclidean distance metric multidimensional scaling

Übergeordnetes Werk:	In: Computers - MDPI AG, 2013, 10(2021), 3, p 33
Übergeordnetes Werk:	volume:10 ; year:2021 ; number:3, p 33

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/computers10030033

Katalog-ID:	DOAJ030305837

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language	English
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callnumber-first	Q - Science
author	Jerome Henry
spellingShingle	Jerome Henry misc QA75.5-76.95 misc FTM misc fine timing measurement misc 802.11 misc mMDS misc euclidean distance metric misc multidimensional scaling misc Electronic computers. Computer science A Geometric Approach to Noisy EDM Resolution in FTM Measurements
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topic_title	QA75.5-76.95 A Geometric Approach to Noisy EDM Resolution in FTM Measurements FTM fine timing measurement 802.11 mMDS euclidean distance metric multidimensional scaling
topic	misc QA75.5-76.95 misc FTM misc fine timing measurement misc 802.11 misc mMDS misc euclidean distance metric misc multidimensional scaling misc Electronic computers. Computer science
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title	A Geometric Approach to Noisy EDM Resolution in FTM Measurements
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title_auth	A Geometric Approach to Noisy EDM Resolution in FTM Measurements
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.
abstractGer	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.
abstract_unstemmed	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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title_short	A Geometric Approach to Noisy EDM Resolution in FTM Measurements
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