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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.identifier.citationBattistelli, G. and Chisci, L. and Papi, F. and Benavoli, A. and Farina, A. 2008. Multiscan association as a multi-commodity flow optimization problem.

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 long association windows and/or many measurements. In this paper it is shown how the formulation of the multiscan association as a multi-commodity flow optimization problem allows a relaxation of the association problem which, on one hand, guarantees close-to-optimal association performance and, on the other hand, implies a significant reduction of the computational load. © 2008 IEEE.

dc.titleMultiscan association as a multi-commodity flow optimization problem
dc.typeConference Paper
dcterms.source.title2008 IEEE Radar Conference, RADAR 2008
dcterms.source.series2008 IEEE Radar Conference, RADAR 2008
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available

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