Publication:
Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking

dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Inteligencia Artificial Aplicada (GIAA)es
dc.contributor.authorLi, Tiancheng
dc.contributor.authorFan, Hongqi
dc.contributor.authorGarcía Herrero, Jesús
dc.contributor.authorCorchado, Juan M.
dc.contributor.funderEuropean Commissiones
dc.date.accessioned2021-02-24T12:40:34Z
dc.date.available2021-11-01T00:00:06Z
dc.date.issued2019-11-01
dc.description.abstractTwo fundamental approaches to information averaging are based on linear and logarithmic combination, yielding the arithmetic average (AA) and geometric average (GA) of the fusing data, respectively. In the context of multisensor target tracking, the two most common formats of data to be fused are random variables and probability density functions, namely v-fusion and f-fusion, respectively. In this work, we analyze and compare the second-order statistics (including variance and mean square error) of AA and GA in terms of both v-fusion and f-fusion. The case of weighted Gaussian mixtures representing multitarget densities in the presence of false alarms and missed detections (whose weight sums are not necessarily unit) is also considered, the result of which turns out to be significantly different from that of a single target. In addition to exact derivation, exemplifying analyses and illustrations are also provided.en
dc.description.sponsorshipThis work was supported in part by the Marie Skłodowska-Curie Individual Fellowship under Grant 709267, in part by Shaanxi Natural Fund under Grant 2018MJ6048, in part by the Northwestern Polytechnical University, and in part by Junta Castilla y León, Consejería de Educación and FEDER funds under project SA267P18.en
dc.identifier.bibliographicCitationTiancheng Li, Hongqi Fan, Jesús García, Juan M Corchado. (2019). Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking. Information fusion, 51, pp. 233-243.en
dc.identifier.doihttps://doi.org/10.1016/j.inffus.2019.02.009
dc.identifier.issn1566-2535
dc.identifier.publicationfirstpage233
dc.identifier.publicationlastpage243
dc.identifier.publicationtitleInformation Fusionen
dc.identifier.publicationvolume51
dc.identifier.urihttps://hdl.handle.net/10016/32011
dc.identifier.uxxiAR/0000023844
dc.language.isoenges
dc.publisherElsevieres
dc.relation.projectIDinfo:eu-repo/grantAgreement/709267es
dc.rights© 2019 Elsevier B.V. All rights reserved.es
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaInformáticaes
dc.subject.otherMultisensor Fusionen
dc.subject.otherAverage Consensusen
dc.subject.otherDistributed Trackingen
dc.subject.otherCovariance Intersectionen
dc.subject.otherArithmetic Meanen
dc.subject.otherGeometric Meanen
dc.subject.otherLinear Poolen
dc.subject.otherLog-Linear Poolen
dc.subject.otherAggregation Operatoren
dc.subject.otherDistributed Data Fusionen
dc.subject.otherCovariance Intersectionen
dc.subject.otherSensor Networksen
dc.subject.otherConsensusen
dc.subject.otherMixturesen
dc.subject.otherSystemsen
dc.subject.otherFilteren
dc.subject.otherBayesen
dc.titleSecond-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target trackingen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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