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

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dc.contributor.author Li, Tiancheng
dc.contributor.author Fan, Hongqi
dc.contributor.author García Herrero, Jesús
dc.contributor.author Corchado, Juan M.
dc.date.accessioned 2021-02-24T12:40:34Z
dc.date.available 2021-11-01T00:00:06Z
dc.date.issued 2019-11-01
dc.identifier.bibliographicCitation Tiancheng 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.
dc.identifier.issn 1566-2535
dc.identifier.uri http://hdl.handle.net/10016/32011
dc.description.abstract Two 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.
dc.description.sponsorship This 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.
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2019 Elsevier B.V. All rights reserved.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Multisensor Fusion
dc.subject.other Average Consensus
dc.subject.other Distributed Tracking
dc.subject.other Covariance Intersection
dc.subject.other Arithmetic Mean
dc.subject.other Geometric Mean
dc.subject.other Linear Pool
dc.subject.other Log-Linear Pool
dc.subject.other Aggregation Operator
dc.subject.other Distributed Data Fusion
dc.subject.other Covariance Intersection
dc.subject.other Sensor Networks
dc.subject.other Consensus
dc.subject.other Mixtures
dc.subject.other Systems
dc.subject.other Filter
dc.subject.other Bayes
dc.title Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking
dc.type article
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.1016/j.inffus.2019.02.009
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/709267
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 233
dc.identifier.publicationlastpage 243
dc.identifier.publicationtitle Information Fusion
dc.identifier.publicationvolume 51
dc.identifier.uxxi AR/0000023844
dc.contributor.funder European Commission
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