Adaptive Auxiliary Particle Filter for Track-Before-Detect With Multiple Targets



Ubeda-Medina, Luis, Garcia-Fernandez, Angel F ORCID: 0000-0002-6471-8455 and Grajal, Jesus
(2017) Adaptive Auxiliary Particle Filter for Track-Before-Detect With Multiple Targets IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 53 (5). pp. 2317-2330. ISSN 0018-9251, 1557-9603

[thumbnail of ATRAPP_open_access.pdf] Text
ATRAPP_open_access.pdf - Author Accepted Manuscript

Download (2MB)

Abstract

A novel particle filter for multiple target tracking with track-before-detect measurement models is proposed. Particle filters efficiently perform target tracking under nonlinear or non-Gaussian models. However, their application to multiple target tracking suffers from the curse of dimensionality. We introduce an efficient particle filter for multiple target tracking which deals with the curse of dimensionality better than previously developed methods. The proposed algorithm is tested and compared to other multiple target tracking particle filters.

Item Type: Article
Uncontrolled Keywords: 40 Engineering, 4001 Aerospace Engineering
Depositing User: Symplectic Admin
Date Deposited: 04 Dec 2017 11:50
Last Modified: 23 May 2026 01:15
DOI: 10.1109/TAES.2017.2691958
Related Websites:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3013494
Disclaimer: The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate.