Probabilistic Time of Arrival Localization

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Show simple item record Pérez Cruz, Fernando Martínez Olmos, Pablo Minyi Zhang, Michael Huang, Howard 2021-05-25T08:56:47Z 2021-05-25T08:56:47Z 2019-11
dc.identifier.bibliographicCitation Perez-Cruz, F., Olmos, P. M., Zhang, M. M. & Huang, H. (2019). Probabilistic Time of Arrival Localization. IEEE Signal Processing Letters, 26(11), pp. 1683–1687.
dc.identifier.issn 1070-9908
dc.description.abstract In this letter, we take a new approach for time of arrival geo-localization. We show that the main sources of error in metropolitan areas are due to environmental imperfections that bias our solutions, and that we can rely on a probabilistic model to learn and compensate for them. The resulting localization error is validated using measurements from a live LTE cellular network to be less than 10 meters, representing an order-of-magnitude improvement.
dc.format.extent 5
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2019, IEEE
dc.subject.other Probabilistic modeling
dc.subject.other Time of arrival localization
dc.subject.other Error compensation
dc.subject.other Error statistics
dc.subject.other Location based services
dc.subject.other Long term evolution
dc.title Probabilistic Time of Arrival Localization
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2016-78434-C3-3-R
dc.relation.projectID info:eu-repo/grantAgreement/EC/714161
dc.relation.projectID Comunidad de Madrid. IND2017/TIC-7618
dc.relation.projectID Comunidad de Madrid. IND2018/TIC-9649
dc.relation.projectID Comunidad de Madrid. Y2018/TCS-4705
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 1683
dc.identifier.publicationissue 11
dc.identifier.publicationlastpage 1687
dc.identifier.publicationtitle IEEE Signal Processing Letters
dc.identifier.publicationvolume 26
dc.identifier.uxxi AR/0000024434
dc.contributor.funder Ministerio de Economía y Competitividad (España)
dc.contributor.funder Comunidad de Madrid
dc.contributor.funder European Commission
dc.affiliation.dpto UC3M. Departamento de Teoría de la Señal y Comunicaciones
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Tratamiento de la Señal y Aprendizaje (GTSA)
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