Probabilistic Time of Arrival Localization

Pérez Cruz, Fernando; Martínez Olmos, Pablo; Minyi Zhang, Michael; Huang, Howard

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Probabilistic Time of Arrival Localization

Author(s): Pérez Cruz, Fernando; Martínez Olmos, Pablo; Minyi Zhang, Michael; Huang, Howard

Publisher: IEEE

Issued date: 2019-11

Citation: 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.

ISSN: 1070-9908

DOI: https://doi.org/10.1109/LSP.2019.2944005

xmlui.dri2xhtml.METS-1.0.item-contributor-funder: Ministerio de Economía y Competitividad (España)
Comunidad de Madrid
European Commission

Project: Gobierno de España. TEC2016-78434-C3-3-R
info:eu-repo/grantAgreement/EC/714161
Comunidad de Madrid. IND2017/TIC-7618
Comunidad de Madrid. IND2018/TIC-9649
Comunidad de Madrid. Y2018/TCS-4705

Keywords: Probabilistic modeling , Time of arrival localization , Error compensation , Error statistics , Location based services , Long term evolution

URI: http://hdl.handle.net/10016/32740

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 [+]

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