Print Email Facebook Twitter Algebraic analysis of data fusion with ellipsoidal intersection Title Algebraic analysis of data fusion with ellipsoidal intersection Author Noack, B. Sijs, J. Hanebeck, U.D. Publication year 2017 Abstract For decentralized fusion problems, ellipsoidal intersection has been proposed as an efficient fusion rule that provides less conservative results as compared to the well-know ovariance intersection method. Ellipsoidal intersection relies on the computation of a common estimate that is shared by the estimates to be fused. In this paper, an algebraic reformulation of ellipsoidal intersection is discussed that circumvents the computation of the common estimate. It is shown that ellipsoidal intersection corresponds to an internal ellipsoidal approximation of the intersection of covariance ellipsoids. An interesting result is that ellipsoidal intersection can be computed with the aid of the Bar-Shalom/Campo fusion formulae. This is achieved by assuming a specific correlation structure between the estimates to be fused. Subject 2015 Observation, Weapon & Protection SystemsAS - Acoustics & SonarTS - Technical SciencesData fusionIntelligent systemsAlgebraic analysisCorrelation structureCovariance intersectionEllipsoidal approximationsEllipsoidal intersectionsFusion ruleAlgebra To reference this document use: http://resolver.tudelft.nl/uuid:ebca27b5-5299-41db-a8e3-186a47f11e27 TNO identifier 753484 Publisher Institute of Electrical and Electronics Engineers Inc. ISBN 9781467397087 Source 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016. 19 September 2016 through 21 September 2016, 365-370 Article number 7849515 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.