Improved weighting in particle filters applied to precise state estimation in GNSS

Improved weighting in particle filters applied to precise state estimation in GNSS

In the last decades, the increasing complexity of the fusion of proprioceptive and exteroceptive sensors with Global Navigation Satellite System (GNSS) has motivated the exploration of Artificial Intelligence related strategies for the implementation of the navigation filters. In order to meet the s...

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Bibliographic Details
Main Authors:	Simone Zocca, Yihan Guo, Alex Minetto , Fabio Dovis
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-08-01
Series:	Frontiers in Robotics and AI
Subjects:	bayesian estimation global navigation satellite system particle filter positioning and navigation sequential Monte Carlo (SMC)
Online Access:	https://www.frontiersin.org/articles/10.3389/frobt.2022.950427/full

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