Publication:
Probabilistic Time of Arrival Localization

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URI: https://hdl.handle.net/10016/32740
ISSN: 1070-9908
DOI: https://doi.org/10.1109/LSP.2019.2944005
UXXI: AR/0000024434
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Probabilistic_SPL_2019_ps.pdf (7.55 MB)
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2019-11
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IEEE
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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.
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Probabilistic modeling, Time of arrival localization, Error compensation, Error statistics, Location based services, Long term evolution
Bibliographic 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.
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