Garcia-Fernandez, Angel F ORCID: 0000-0002-6471-8455 and Svensson, Lennart
(2018)
Trajectory probability hypothesis density filter.
2018 21ST INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), abs/16.
pp. 1430-1437.
Text
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Abstract
This paper presents the probability hypothesis density (PHD) filter for sets of trajectories: the trajectory probability density (TPHD) filter. The TPHD filter is capable of estimating trajectories in a principled way without requiring to evaluate all measurement-to-target association hypotheses. The TPHD filter is based on recursively obtaining the best Poisson approximation to the multitrajectory filtering density in the sense of minimising the Kullback-Leibler divergence. We also propose a Gaussian mixture implementation of the TPHD recursion. Finally, we include simulation results to show the performance of the proposed algorithm.
Item Type: | Article |
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Additional Information: | Published in the Proceedings of the 21st International Conference on Information Fusion (FUSION) |
Uncontrolled Keywords: | Random finite sets, multitarget tracking, sets of trajectories, PHD filter |
Depositing User: | Symplectic Admin |
Date Deposited: | 19 Feb 2019 10:12 |
Last Modified: | 19 Jan 2023 01:02 |
DOI: | 10.23919/icif.2018.8455270 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3033095 |