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The CPHD filter with target spawning
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Bryant, Daniel S., Delande, Emmanuel D., Gehly, Steven, Houssineau, Jeremie, Clark, Daniel E. and Jones, Brandon A. (2016) The CPHD filter with target spawning. IEEE Transactions on Signal Processing, 65 (5). pp. 13124-13138. doi:10.1109/TSP.2016.2597126 ISSN 1053-587X.
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Official URL: http://dx.doi.org/10.1109/TSP.2016.2597126
Abstract
In its classical form, the cardinalized probability hypothesis density (CPHD) filter does not model the appearance of new targets through spawning, yet there are applications for which spawning models more appropriately account for newborn objects when compared to spontaneous birth models. In this paper, we propose a principled derivation of the CPHD filter prediction step including spontaneous birth and spawning. A Gaussian Mixture implementation of the CPHD filter with spawning is then presented, illustrated with three applicable spawning models on a simulated scenario involving two parent targets spawning a total of five objects.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||
Journal or Publication Title: | IEEE Transactions on Signal Processing | ||||
Publisher: | IEEE Computer Society | ||||
ISSN: | 1053-587X | ||||
Official Date: | 8 August 2016 | ||||
Dates: |
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Volume: | 65 | ||||
Number: | 5 | ||||
Page Range: | pp. 13124-13138 | ||||
DOI: | 10.1109/TSP.2016.2597126 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) |
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