Sistema de posicionamiento en interiores utilizando señales de radio estaciones FM comerciales y Deep Learning

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dc.contributor.authorRoman, J.es_ES
dc.contributor.authorMarquez-Viloria, D.es_ES
dc.contributor.authorVelásquez, R. A.es_ES
dc.contributor.authorBotero-Valencia, J.es_ES
dc.contributor.funderInstituto Tecnológico Metropolitano, Colombiaes_ES
dc.date.accessioned2020-03-04T08:20:34Z
dc.date.available2020-03-04T08:20:34Z
dc.date.issued2020-01-01
dc.description.abstract[ES] Para dar solución al problema de posicionamiento en interiores, muchos autores han propuesto el uso de diversas técnicas. Desde la simulación de un Sistema de Posicionamiento Global (GPS) a través de antenas Pseudolites, la construcción de campos magnéticos artificiales, el uso de diversos sensores como visión, ultrasonido, unidades de medida inercial, entre otros. Hasta el uso de transmisores y receptores en el rango de la Radio Frecuencia como los presentes en una oficina. Muchos de los sistemas anteriormente mencionados dependen para su correcto funcionamiento de una instalación y configuración de equipos en el lugar de posicionamiento, lo cual puede llevar en ocasiones a costosas implementaciones. Es por esto que para realizar este trabajo hemos propuesto una metodología de posicionamiento en interiores que no requiere de adecuaciones e instalaciones en el lugar de aplicación. La metodología propuesta hace uso de las radio estaciones FM existentes y utiliza algoritmos de Deep Learnes_ES
dc.description.abstract[EN] For the problem of indoor positioning, many authors have proposed the use of diverses techniques. From the simulation of a Global Positioning System (GPS) through Pseudolite antennas, the construction of artificial magnetic fields, the use of various sensors such as vision, ultrasound, inertial measurement units, among others. Up to the use of transmitters and receivers in the range of Radio Frequency as those present in an oce. Many of the aforementioned systems depend for their correct operation of an installation and configuration of equipment in the place of positioning, which can sometimes lead to costly implementations. That is why to carry out this work we have proposed a indoors positioning methodology that does not require adjustments and installations in the place of application. The proposed methodology makes use of the existing FM radio stations and uses Deep Learning algorithms as positioning algorithm.en_EN
dc.description.accrualMethodOJSes_ES
dc.description.bibliographicCitationRoman, J.; Marquez-Viloria, D.; Velásquez, RA.; Botero-Valencia, J. (2020). Sistema de posicionamiento en interiores utilizando señales de radio estaciones FM comerciales y Deep Learning. Revista Iberoamericana de Automática e Informática industrial. 17(1):34-43. https://doi.org/10.4995/riai.2019.10894es_ES
dc.description.issue1es_ES
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dc.description.sponsorshipGrupo de investigación AECC (COL0053581) del Instituto Tecnológico Metropolitano, proyecto P14208.es_ES
dc.description.upvformatpfin43es_ES
dc.description.upvformatpinicio34es_ES
dc.description.volume17es_ES
dc.identifier.doi10.4995/riai.2019.10894
dc.identifier.eissn1697-7920
dc.identifier.issn1697-7912
dc.identifier.urihttps://riunet.upv.es/handle/10251/138318
dc.languageEspañoles_ES
dc.publisherUniversitat Politècnica de Valènciaes_ES
dc.relation.ispartofRevista Iberoamericana de Automática e Informática industriales_ES
dc.relation.pasarelaOJS\10894es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ITM//P14208/es_ES
dc.relation.publisherversionhttps://doi.org/10.4995/riai.2019.10894es_ES
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dc.rightsReconocimiento - No comercial - Sin obra derivada (by-nc-nd)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectFrequency Modulationes_ES
dc.subjectIndoores_ES
dc.subjectPosition Estimationes_ES
dc.subjectPositioning Systemses_ES
dc.subjectRadio Signalses_ES
dc.subjectEstimación de la posiciónes_ES
dc.subjectFrecuencia Moduladaes_ES
dc.subjectInterioreses_ES
dc.subjectSeñales de radioes_ES
dc.subjectSistemas de posicionamientoes_ES
dc.titleSistema de posicionamiento en interiores utilizando señales de radio estaciones FM comerciales y Deep Learninges_ES
dc.title.alternativeIndoor Positioning System Using FM Radio Stations Signals and Deep Learninges_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
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Revista Iberoamericana de Automática e Informática - Vol 17, No 1 (2020)