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Magnetic induction-based positioning in distorted environments / Orfeas Kypris in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 54 n° 8 (August 2016) . - pp 4605 - 4612 Titre : Magnetic induction-based positioning in distorted environments Type de document : Article/Communication Auteurs : Orfeas Kypris, Auteur ; Traian E. Abrudan, Auteur ; Andrew Markham, Auteur Année de publication : 2016 Article en page(s) : pp 4605 - 4612 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] champ magnétique [Termes IGN] induction magnétique [Termes IGN] métal [Termes IGN] méthode des éléments finis [Termes IGN] modèle analytique [Termes IGN] positionnement en intérieur Résumé : (Auteur) Ferrous and highly conductive materials distort low-frequency magnetic fields and can significantly increase magnetoinductive positioning errors. In this paper, we use the image theory in order to formulate an analytical channel model for the magnetic field of a quasi-static magnetic dipole positioned above a perfectly conducting half-space. The proposed model can be used to compensate for the distorting effects that metallic reinforcement bars (rebars) within the floor impose on the magnetic field of a magnetoinductive transmitter node in an indoor single-story environment. Good agreement is observed between the analytical solution and numerical solutions obtained from 3-D finite-element simulations. Experimental results indicate that the image theory model shows improvement over the free-space dipole model in estimating positions in the distorted environment, typically reducing positioning errors by 22% in 90% of the cases and 26% in 40% of the cases. No prior information on the geometry of the metallic distorters was available, making this essentially a “blind” technique. Numéro de notice : A2016-887 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2546461 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2546461 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83067 [article]