Probabilistic Time of Arrival Localization

15 Oct 2019Fernando Perez-CruzPablo M. OlmosMichael Minyi ZhangHoward Huang

In this paper, 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... (read more)

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