Joint probabilistic data association filter with unknown detection probability and clutter rate

Simple item page
dc.contributor.authorHe, Shaoming
dc.contributor.authorShin, Hyosang
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2018-01-23T09:49:45Z
dc.date.available2018-01-23T09:49:45Z
dc.date.issued2018-01-18
dc.description.abstractThis paper proposes a novel joint probabilistic data association (JPDA) filter for joint target tracking and track maintenance under unknown detection probability and clutter rate. The proposed algorithm consists of two main parts: (1) the standard JPDA filter with a Poisson point process birth model for multi-object state estimation; and (2) a multi-Bernoulli filter for detection probability and clutter rate estimation. The performance of the proposed JPDA filter is evaluated through empirical tests. The results of the empirical tests show that the proposed JPDA filter has comparable performance with ideal JPDA that is assumed to have perfect knowledge of detection probability and clutter rate. Therefore, the algorithm developed is practical and could be implemented in a wide range of applicationsen_UK
dc.identifier.citationShaoming He, Hyo-Sang Shin and Antonios Tsourdos. Joint probabilistic data association filter with unknown detection probability and clutter rate. Sensors 2018, Vol. 18(1), pp269-283en_UK
dc.identifier.issn1424-8220
dc.identifier.urihttp://dx.doi.org/10.3390/s18010269
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12919
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectmultiple target trackingen_UK
dc.subjectjoint probabilistic data associationen_UK
dc.subjectmulti-Bernoulli filteren_UK
dc.subjectunknown detection probabilityen_UK
dc.subjectunknown clutter rateen_UK
dc.titleJoint probabilistic data association filter with unknown detection probability and clutter rateen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Joint_probabilistic_data_association_filter-2018.pdf
Size:
843.37 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)