Robust Distributed Kalman Filtering: On the Choice of the Local Tolerance

Robust Distributed Kalman Filtering: On the Choice of the Local Tolerance

We propose a distributed Kalman filter for a sensor network under model uncertainty. The distributed scheme is characterized by two communication stages in each time step: in the first stage, the local units exchange their observations and then they can compute their local estimate; in the final sta...

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Bibliographic Details
Main Authors: Alessandro Emanuele, Francesco Gasparotto, Giacomo Guerra, Mattia Zorzi
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
distributed robust Kalman filtering
least favorable analysis
sensor networks
Online Access:https://www.mdpi.com/1424-8220/20/11/3244

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