Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation
| dc.contributor.author | García-Fernández, Ángel | |
| dc.contributor.author | Vo, Ba-Ngu | |
| dc.date.accessioned | 2017-01-30T15:08:34Z | |
| dc.date.available | 2017-01-30T15:08:34Z | |
| dc.date.created | 2016-04-21T19:30:21Z | |
| dc.date.issued | 2015 | |
| dc.identifier.citation | García-Fernández, Á. and Vo, B. 2015. Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation, in Proceedings of the 2015 International Conference on Control, Automation and Information Sciences (ICCAIS), Oct 29-31 2015, pp. 209-213. Changshu: IEEE. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/43581 | |
| dc.identifier.doi | 10.1109/ICCAIS.2015.7338663 | |
| dc.description.abstract |
In this paper, we provide a novel derivation of the probability hypothesis density (PHD) filter without using probability generating functionals or functional derivatives. The PHD filter fits in the context of assumed density filtering and implicitly performs Kullback-Leibler divergence (KLD) minimisations after the prediction and update steps. The novelty of this paper is that the KLD minimisation is performed directly on the multitarget prediction and posterior densities. | |
| dc.title | Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation | |
| dc.type | Conference Paper | |
| dcterms.source.startPage | 209 | |
| dcterms.source.endPage | 213 | |
| dcterms.source.title | ICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences | |
| dcterms.source.series | ICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences | |
| dcterms.source.isbn | 9781479998920 | |
| dcterms.source.conference | 2015 International Conference on Control, Automation and Information Sciences | |
| dcterms.source.place | USA | |
| curtin.note |
Copyright © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
| curtin.department | Department of Electrical and Computer Engineering | |
| curtin.accessStatus | Open access |