On the Blackman's Association Problem

Simple item page
dc.creatorDezert, Jean
dc.creatorSmarandache, Florentin
dc.creatorTchamova, Albena
dc.date2003-09-17
dc.date.accessioned2026-07-07T05:01:11Z
dc.date.available2026-07-07T05:01:11Z
dc.descriptionModern multitarget-multisensor tracking systems involve the development of reliable methods for the data association and the fusion of multiple sensor information, and more specifically the partioning of observations into tracks. This paper discusses and compares the application of Dempster-Shafer Theory (DST) and the Dezert-Smarandache Theory (DSmT) methods to the fusion of multiple sensor attributes for target identification purpose. We focus our attention on the paradoxical Blackman's association problem and propose several approaches to outperfom Blackman's solution. We clarify some preconceived ideas about the use of degree of conflict between sources as potential criterion for partitioning evidences.
dc.description16 pages. Presented to the Sixth International Conference on Information Fusion, Cairns, Queensland, Australia, 8-11 July 2003
dc.identifierhttps://arxiv.org/abs/math/0309268
dc.identifierhttp://arxiv.org/abs/math/0309268
dc.identifierPublished in Proceedings of the Sixth International Conference on Information Fusion, International Society for Information Fusion, Cairns, Queensland, Australia, 1371-1378, 8-11 July 2003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/68583
dc.subjectGeneral Mathematics
dc.subject94A15, 94A17
dc.titleOn the Blackman's Association Problem
dc.typetext

Files

Collections

arXiv