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dc.contributor.author
Sui, Tianju  
dc.contributor.author
Marelli, Damian Edgardo  
dc.contributor.author
Sun, Ximing  
dc.contributor.author
Fu, Minyue  
dc.date.available
2022-05-02T17:43:04Z  
dc.date.issued
2020-01  
dc.identifier.citation
Sui, Tianju; Marelli, Damian Edgardo; Sun, Ximing; Fu, Minyue; Multi-sensor state estimation over lossy channels using coded measurements; Pergamon-Elsevier Science Ltd; Automatica; 111; 1-2020; 1-9  
dc.identifier.issn
0005-1098  
dc.identifier.uri
http://hdl.handle.net/11336/156240  
dc.description.abstract
This paper focuses on a networked state estimation problem for a spatially large linear system with a distributed array of sensors, each of which offers partial state measurements, and the transmission is lossy. We propose a measurement coding scheme with two goals. Firstly, it permits adjusting the communication requirements by controlling the dimension of the vector transmitted by each sensor to the central estimator. Secondly, for a given communication requirement, the scheme is optimal, within the family of linear causal coders, in the sense that the weakest channel condition is required to guarantee the stability of the estimator. For this coding scheme, we derive the minimum mean-square error (MMSE) state estimator, and state a necessary and sufficient condition with a trivial gap, for its stability. We also derive a sufficient but easily verifiable stability condition, and quantify the advantage offered by the proposed coding scheme. Finally, simulations results are presented to confirm our claims.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Pergamon-Elsevier Science Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
NETWORKED STATE ESTIMATION  
dc.subject
SENSOR FUSION  
dc.subject
PACKET LOSS  
dc.subject
MINIMUM MEAN-SQUARE ERROR  
dc.subject.classification
Control Automático y Robótica  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Multi-sensor state estimation over lossy channels using coded measurements  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-08-19T19:53:43Z  
dc.journal.volume
111  
dc.journal.pagination
1-9  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Sui, Tianju. Dalian University of Technology; República de China  
dc.description.fil
Fil: Marelli, Damian Edgardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina. Guangdong University of Technology; República de China  
dc.description.fil
Fil: Sun, Ximing. Dalian University of Technology; República de China  
dc.description.fil
Fil: Fu, Minyue. Universidad de Newcastle; Australia  
dc.journal.title
Automatica  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.automatica.2019.108561  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0005109819304224