Examinando por Autor "Fierenz, Pablo Ignacio"
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Artículo de Publicación Periódica Joint position and clock tracking of wireless node(2021) Grisales Campeón, Juan Pablo; Fierenz, Pablo Ignacio"In this paper we consider the problem of joint position and clock tracking of a mobile wireless node by a set of reference nodes. Imperfections of the mobile clock are characterized by its skew and offset, which are assumed to change with time according to simple random walk models. We put forth a measurement protocol, similar to that used in two-way rang ing, and apply extended and unscented Kalman filters to estimate the position and the velocity of the mobile, and the skew and offset of its clock. We analyze the performance of the algorithms by means of extensive simulations, where the mobile’s velocity is assumed to follow a random walk. Simulation results are compared to the Cramér-Rao bound for a simplified model of a mobile with constant velocity. We show that estimation errors are largely independent of the mean values of the offset and the skew, but they increase with the mean speed. We also study how estimation errors are influenced by other factors such as the number of reference nodes. We believe these results to be of relevance, specially, in indoor positioning applications."Artículo de Publicación Periódica Joint position and clock tracking of wireless nodes under mixed LOS-NLOS conditions(2022-10) Grisales Campeón, Juan Pablo; Fierenz, Pablo IgnacioWe propose an algorithm for the simultaneous position and clock tracking of a wireless mobile node by a set of reference nodes. Based on a protocol similar to that of two-way ranging, our algorithm efficiently estimates the position and velocity of the mobile, and the skew and offset of its clock. We take into account that the propagation conditions between each reference node and the mobile change as the latter moves. In particular, changes between line-of-sight (LOS) and several non-line-of-sight (NLOS) scenarios are considered. We study the performance of our algorithm and compare it to other relevant proposals in the literature by means of simulations, showing that our proposed method improves localization accuracy.