Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions

Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions

This paper is concerned with the least-squares linear centralized estimation problem in multi-sensor network systems from measured outputs with uncertainties modeled by random parameter matrices. These measurements are transmitted to a central processor over different communication channels, and owi...

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Bibliographic Details
Main Authors: Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
least-squares filtering
least-squares smoothing
networked systems
random parameter matrices
random delays
packet dropouts
Online Access:http://www.mdpi.com/1424-8220/18/8/2697

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