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dc.contributor.authorGarcía-Ligero, María Jesús
dc.contributor.authorHermoso-Carazo, Aurora 
dc.contributor.authorLinares-Pérez, Josefa 
dc.date.accessioned2021-03-23T07:21:04Z
dc.date.available2021-03-23T07:21:04Z
dc.date.issued2020-03
dc.identifier.citationM. J. García-Ligero, A. Hermoso-Carazo & J. Linares-Pérez (2020) Leastsquares estimators for systems with stochastic sensor gain degradation, correlated measurement noises and delays in transmission modelled by Markov chains, International Journal of Systems Science, 51:4, 731-745es_ES
dc.identifier.urihttp://hdl.handle.net/10481/67457
dc.description.abstractThis paper addresses the linear least-squares estimation of a signal from measurements subject to stochastic sensor gain degradation and random delays during the transmission. These uncertainty phenomena, common in network systems, have traditionally been described by independent Bernoulli random variables.Wepropose a model that is more general and therefore has greater applicability to real-life situations. The model has two particular characteristics: firstly, the sensor gain degradation is represented by a white sequence of random variables with values in [0,1]; in addition, the absence or presence of delays in the transmission is described by a homogeneous three-state Markov chain, which reflects a possible correlation of delays at different sampling times. Furthermore, assuming that the measurement noise is one-step correlated, we obtain recursive prediction, filtering and fixed-point smoothing algorithms using the first and second-order moments of the signal and the processes present in the observation model. Simulation results for a scalar signal are provided to illustrate the feasibility of the proposed algorithms, using the estimation error variances as a measure of the quality of the estimators.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.publisherTaylor&Francises_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectLeast-squares estimationes_ES
dc.subjectCovariance informationes_ES
dc.subjectInnovation approaches_ES
dc.subjectGain degradationes_ES
dc.subjectMarkovian delayses_ES
dc.subjectCorrelated noiseses_ES
dc.titleLeast-squares estimators for systems with stochastic sensor gain degradation, correlated measurement noises and delays in transmission modelled by Markov chainses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.identifier.doihttps://doi.org/10.1080/00207721.2020.1737757
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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