dc.contributor.author | Takos, G. | en |
dc.contributor.author | Hadjicostis, Christoforos N. | en |
dc.creator | Takos, G. | en |
dc.creator | Hadjicostis, Christoforos N. | en |
dc.date.accessioned | 2019-04-08T07:48:26Z | |
dc.date.available | 2019-04-08T07:48:26Z | |
dc.date.issued | 2005 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/44936 | |
dc.description.abstract | In this paper we consider hierarchical decentralized fusion of possibly correlated noisy measurements of a random variable. Our goal is to obtain initial estimates in a decentralized fashion (based on disjoint groupings of the measurements) so that, when these estimates are fused, they give a good overall estimate. In general, this final estimate will be worse than the one based on all measurements; this decentralized structure, however, has other advantages that can potentially outweigh this compromise in performance. Since most works on multisensor data fusion assume that noise among different sensors is uncorrelated (i.e.,the noise covariance matrix has a block-diagonal structure) which is not always a valid assumption, our approach in this paper allows us to analyze the degradation in performance incurred when we erroneously assume uncorrelated sensor measurements. With the help of sensitivity analysis, upper bounds on this degradation are derived in terms of the off-block-diagonal part of the noise covariance matrix that is not taken into account. © 2005 IEEE. | en |
dc.source | 2005 IEEE Networking, Sensing and Control, ICNSC2005 - Proceedings | en |
dc.source | 2005 IEEE Networking, Sensing and Control, ICNSC2005 - Proceedings | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-33745177740&doi=10.1109%2fICNSC.2005.1461242&partnerID=40&md5=167b33b5b1b668f9e8074edf2bf3a31e | |
dc.subject | Sensitivity analysis | en |
dc.subject | Matrix algebra | en |
dc.subject | Parameter estimation | en |
dc.subject | Correlation methods | en |
dc.subject | Sensor data fusion | en |
dc.subject | Block-diagonal structure | en |
dc.subject | Fiber optic sensors | en |
dc.subject | Hierarchical decentralized fusion | en |
dc.subject | Multisensor data fusion | en |
dc.subject | Noise covariance matrix | en |
dc.title | Hierarchical decentralized fusion from correlated sensor measurements | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/ICNSC.2005.1461242 | |
dc.description.volume | 2005 | |
dc.description.startingpage | 508 | |
dc.description.endingpage | 513 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering | |
dc.type.uhtype | Conference Object | en |
dc.contributor.orcid | Hadjicostis, Christoforos N. [0000-0002-1706-708X] | |
dc.gnosis.orcid | 0000-0002-1706-708X | |