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Article: Probabilistic Time of Arrival Localization

TitleProbabilistic Time of Arrival Localization
Authors
KeywordsTime of arrival localization
probabilistic modeling
Issue Date2019
Citation
IEEE Signal Processing Letters, 2019, v. 26, n. 11, p. 1683-1687 How to Cite?
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.
Persistent Identifierhttp://hdl.handle.net/10722/296206
ISSN
2021 Impact Factor: 3.201
2020 SCImago Journal Rankings: 0.815
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPérez-Cruz, Fernando-
dc.contributor.authorOlmos, Pablo M.-
dc.contributor.authorZhang, Michael Minyi-
dc.contributor.authorHuang, Howard-
dc.date.accessioned2021-02-11T04:53:03Z-
dc.date.available2021-02-11T04:53:03Z-
dc.date.issued2019-
dc.identifier.citationIEEE Signal Processing Letters, 2019, v. 26, n. 11, p. 1683-1687-
dc.identifier.issn1070-9908-
dc.identifier.urihttp://hdl.handle.net/10722/296206-
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.-
dc.languageeng-
dc.relation.ispartofIEEE Signal Processing Letters-
dc.subjectTime of arrival localization-
dc.subjectprobabilistic modeling-
dc.titleProbabilistic Time of Arrival Localization-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/LSP.2019.2944005-
dc.identifier.scopuseid_2-s2.0-85077755675-
dc.identifier.volume26-
dc.identifier.issue11-
dc.identifier.spage1683-
dc.identifier.epage1687-
dc.identifier.eissn1558-2361-
dc.identifier.isiWOS:000576192000006-
dc.identifier.issnl1070-9908-

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