Publication:
Probabilistic Time of Arrival Localization

Simple item page
dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Tratamiento de la Señal y Aprendizaje (GTSA)es
dc.contributor.authorPérez Cruz, Fernando
dc.contributor.authorMartínez Olmos, Pablo
dc.contributor.authorMinyi Zhang, Michael
dc.contributor.authorHuang, Howard
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.contributor.funderComunidad de Madrides
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2021-05-25T08:56:47Z
dc.date.available2021-05-25T08:56:47Z
dc.date.issued2019-11
dc.description.abstractIn 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.en
dc.format.extent5
dc.identifier.bibliographicCitationPerez-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.en
dc.identifier.doihttps://doi.org/10.1109/LSP.2019.2944005
dc.identifier.issn1070-9908
dc.identifier.publicationfirstpage1683
dc.identifier.publicationissue11
dc.identifier.publicationlastpage1687
dc.identifier.publicationtitleIEEE Signal Processing Lettersen
dc.identifier.publicationvolume26
dc.identifier.urihttps://hdl.handle.net/10016/32740
dc.identifier.uxxiAR/0000024434
dc.language.isoeng
dc.publisherIEEE
dc.relation.projectIDGobierno de España. TEC2016-78434-C3-3-Res
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/714161
dc.relation.projectIDComunidad de Madrid. IND2017/TIC-7618es
dc.relation.projectIDComunidad de Madrid. IND2018/TIC-9649es
dc.relation.projectIDComunidad de Madrid. Y2018/TCS-4705es
dc.rights© 2019, IEEEes
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherProbabilistic modelingen
dc.subject.otherTime of arrival localizationen
dc.subject.otherError compensationen
dc.subject.otherError statisticsen
dc.subject.otherLocation based servicesen
dc.subject.otherLong term evolutionen
dc.titleProbabilistic Time of Arrival Localizationen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Probabilistic_SPL_2019_ps.pdf
Size:
7.55 MB
Format:
Adobe Portable Document Format
Download
Collections
DTSC - GTSA - Artículos de Revistas
OpenAIRE: Open Access Infrastructure for Research in Europe