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dc.contributor.authorBattistelli, G.
dc.contributor.authorChisci, L.
dc.contributor.authorPapi, Francesco
dc.contributor.authorBenavoli, A.
dc.contributor.authorFarina, A.
dc.contributor.authorGraziano, A.
dc.date.accessioned2017-01-30T15:11:32Z
dc.date.available2017-01-30T15:11:32Z
dc.date.created2015-10-29T04:09:49Z
dc.date.issued2011
dc.identifier.citationBattistelli, G. and Chisci, L. and Papi, F. and Benavoli, A. and Farina, A. and Graziano, A. 2011. Optimal flow models for multiscan data association. IEEE Transactions on Aerospace and Electronic Systems. 47 (4): pp. 2405-2422.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/44012
dc.identifier.doi10.1109/TAES.2011.6034641
dc.description.abstract

Multiscan data association can significantly enhance tracking performance in critical radar surveillance scenarios involving multiple targets, low detection probability, high false alarm probability, evasive target maneuvers, and finite radar resolution. Unfortunately, however, this approach is affected by the curse of dimensionality which hinders its real-time application for tracking problems with short scan periods and/or a high number of scans of the association logics and/or many measurements per scan. It is shown here how the formulation of the multiscan association as a multi-commodity or single-commodity flow optimization problem allows a relaxation of the association problem which, on one hand, provides close-to-optimal association performance and, on the other hand, implies a significant reduction of the computational load. © 2011 IEEE.

dc.titleOptimal flow models for multiscan data association
dc.typeJournal Article
dcterms.source.volume47
dcterms.source.number4
dcterms.source.startPage2405
dcterms.source.endPage2422
dcterms.source.issn0018-9251
dcterms.source.titleIEEE Transactions on Aerospace and Electronic Systems
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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