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dc.contributor.authorBattistelli, G.
dc.contributor.authorChisci, L.
dc.contributor.authorFantacci, Claudio
dc.contributor.authorFarina, A.
dc.contributor.authorGraziano, A.
dc.date.accessioned2017-01-30T11:03:20Z
dc.date.available2017-01-30T11:03:20Z
dc.date.created2014-10-08T01:14:49Z
dc.date.issued2013
dc.identifier.citationBattistelli, G. and Chisci, L. and Fantacci, C. and Farina, A. and Graziano, A. 2013. Consensus CPHD filter for distributed multitarget tracking. IEEE Journal on Selected Topics in Signal Processing. 7 (3): pp. 508-520.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/7924
dc.identifier.doi10.1109/JSTSP.2013.2250911
dc.description.abstract

The paper addresses distributed multitarget tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. The contribution has been to develop a novel consensus Gaussian Mixture-Cardinalized Probability Hypothesis Density (GM-CPHD) filter that provides a fully distributed, scalable and computationally efficient solution to the problem. The effectiveness of the proposed approach is demonstrated via simulation experiments on realistic scenarios.

dc.publisherInstitute of Electrical and Electronic Engineers
dc.titleConsensus CPHD filter for distributed multitarget tracking
dc.typeJournal Article
dcterms.source.volume7
dcterms.source.number3
dcterms.source.startPage508
dcterms.source.endPage520
dcterms.source.issn19324553
dcterms.source.titleIEEE Journal on Selected Topics in Signal Processing
curtin.accessStatusFulltext not available


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