Centralized filtering and smoothing algorithms from outputs with random parameter matrices transmitted through uncertain communication channels

The least-squares linear centralized estimation problem is addressed for discrete-time signals from measured outputs whose disturbances are modeled by random parameter matrices and correlated noises. These measurements, coming from different sensors, are sent to a processing center to obtain the est...

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Veröffentlicht in:	Digital signal processing Jg. 85; S. 77 - 85
Hauptverfasser:	Caballero-Águila, R., Hermoso-Carazo, A., Linares-Pérez, J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.02.2019
Schlagworte:	Centralized fusion estimation Packet dropouts Random delays Random parameter matrices Uncertain observations Random parameter matrices Uncertain observations Random delays Centralized fusion estimation Packet dropouts
ISSN:	1051-2004, 1095-4333
Online-Zugang:	Volltext
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