Pérez Cruz, FernandoMartínez Olmos, PabloMinyi Zhang, MichaelHuang, Howard2021-05-252021-05-252019-11Perez-Cruz, F., Olmos, P. M., Zhang, M. M. & Huang, H. (2019). Probabilistic Time of Arrival Localization. IEEE Signal Processing Letters, 26(11), pp. 1683–1687.1070-9908https://hdl.handle.net/10016/32740In 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.5eng© 2019, IEEEProbabilistic modelingTime of arrival localizationError compensationError statisticsLocation based servicesLong term evolutionresearch articleTelecomunicacioneshttps://doi.org/10.1109/LSP.2019.2944005open access1683111687IEEE Signal Processing Letters26AR/0000024434