Track-Before-Detect Labeled Multi-Bernoulli Particle Filter With Label Switching



Garcia-Fernandez, Angel F ORCID: 0000-0002-6471-8455
(2016) Track-Before-Detect Labeled Multi-Bernoulli Particle Filter With Label Switching IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 52 (5). pp. 2123-2138. ISSN 0018-9251, 1557-9603

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Abstract

This paper presents a multitarget tracking particle filter for general track-before-detect measurement models. The particle filter is presented in the random-finite-set framework and uses a labeled multi-Bernoulli approximation. I also present a label-switching improvement algorithm based on Markov-chain Monte Carlo methods that is expected to increase filter performance if targets are in close proximity for a sufficiently long time. The particle filter is tested in two challenging numerical examples.

Item Type: Article
Additional Information: Accepted for publication in IEEE Transactions on Aerospace and Electronic Systems
Uncontrolled Keywords: stat.AP, stat.AP, eess.SY
Depositing User: Symplectic Admin
Date Deposited: 22 Jan 2020 09:58
Last Modified: 22 May 2026 21:32
DOI: 10.1109/TAES.2016.150343
Open Access URL: https://arxiv.org/abs/1604.00082
Related Websites:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3071561
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