Show simple item record

dc.contributor.authorCaballero-Águila, Raquel
dc.contributor.authorHermoso Carazo, Aurora 
dc.contributor.authorLinares Pérez, Josefa 
dc.date.accessioned2021-03-22T07:21:27Z
dc.date.available2021-03-22T07:21:27Z
dc.date.issued2019-03
dc.identifier.citationCaballero-Águila, R., Hermoso-Carazo, A., Linares-Pérez, J. (2019). Networked distributed fusion estimation under uncertain outputs with random transmission delays, packet losses and multi-packet processing. Signal Processing 156, 71–83.es_ES
dc.identifier.urihttp://hdl.handle.net/10481/67364
dc.description.abstractThis paper investigates the distributed fusion estimation problem for networked systems whose mul- tisensor measured outputs involve uncertainties modelled by random parameter matrices. Each sensor transmits its measured outputs to a local processor over different communication channels and random failures –one-step delays and packet dropouts–are assumed to occur during the transmission. White sequences of Bernoulli random variables with different probabilities are introduced to describe the ob- servations that are used to update the estimators at each sampling time. Due to the transmission failures, each local processor may receive either one or two data packets, or even nothing and, when the current measurement does not arrive on time, its predictor is used in the design of the estimators to compensate the lack of updated information. By using an innovation approach, local least-squares linear estimators (filter and fixed-point smoother) are obtained at the individual local processors, without requiring the signal evolution model. From these local estimators, distributed fusion filtering and smoothing estimators weighted by matrices are obtained in a unified way, by applying the least-squares criterion. A simula- tion study is presented to examine the performance of the estimators and the influence that both sensor uncertainties and transmission failures have on the estimation accuracy.es_ES
dc.description.sponsorshipThis research is supported by Ministerio de Economía, Industria y Competitividad, Agencia Estatal de Investigación and Fondo Europeo de Desarrollo Regional FEDER (grant no. MTM2017-84199-P).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectDistributed fusion estimationes_ES
dc.subjectCovariance informationes_ES
dc.subjectRandom measurement matriceses_ES
dc.subjectRandom delayses_ES
dc.subjectPacket dropoutses_ES
dc.titleNetworked distributed fusion estimation under uncertain outputs with random transmission delays, packet losses and multi-packet processinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.identifier.doihttps://doi.org/10.1016/j.sigpro.2018.10.012
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


Files in this item

[PDF]

This item appears in the following Collection(s)

Show simple item record

Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España