Consensus CPHD filter for distributed multitarget tracking
| dc.contributor.author | Battistelli, G. | |
| dc.contributor.author | Chisci, L. | |
| dc.contributor.author | Fantacci, Claudio | |
| dc.contributor.author | Farina, A. | |
| dc.contributor.author | Graziano, A. | |
| dc.date.accessioned | 2017-01-30T11:03:20Z | |
| dc.date.available | 2017-01-30T11:03:20Z | |
| dc.date.created | 2014-10-08T01:14:49Z | |
| dc.date.issued | 2013 | |
| dc.identifier.citation | Battistelli, 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.uri | http://hdl.handle.net/20.500.11937/7924 | |
| dc.identifier.doi | 10.1109/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.publisher | Institute of Electrical and Electronic Engineers | |
| dc.title | Consensus CPHD filter for distributed multitarget tracking | |
| dc.type | Journal Article | |
| dcterms.source.volume | 7 | |
| dcterms.source.number | 3 | |
| dcterms.source.startPage | 508 | |
| dcterms.source.endPage | 520 | |
| dcterms.source.issn | 19324553 | |
| dcterms.source.title | IEEE Journal on Selected Topics in Signal Processing | |
| curtin.accessStatus | Fulltext not available |