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dc.contributor.authorKhalid, Syed Safwan
dc.contributor.authorAbrar, Shafayat
dc.date.accessioned2017-01-24T08:30:06Z
dc.date.available2017-01-24T08:30:06Z
dc.date.issued2017-01-22
dc.identifier.citationKhalid SS, Abrar S (2017) A low-complexity interacting multiple model filter for maneuvering target tracking. AEU - International Journal of Electronics and Communications. Available: http://dx.doi.org/10.1016/j.aeue.2017.01.011.
dc.identifier.issn1434-8411
dc.identifier.doi10.1016/j.aeue.2017.01.011
dc.identifier.urihttp://hdl.handle.net/10754/622716
dc.description.abstractIn this work, we address the target tracking problem for a coordinate-decoupled Markovian jump-mean-acceleration based maneuvering mobility model. A novel low-complexity alternative to the conventional interacting multiple model (IMM) filter is proposed for this class of mobility models. The proposed tracking algorithm utilizes a bank of interacting filters where the interactions are limited to the mixing of the mean estimates, and it exploits a fixed off-line computed Kalman gain matrix for the entire filter bank. Consequently, the proposed filter does not require matrix inversions during on-line operation which significantly reduces its complexity. Simulation results show that the performance of the low-complexity proposed scheme remains comparable to that of the traditional (highly-complex) IMM filter. Furthermore, we derive analytical expressions that iteratively evaluate the transient and steady-state performance of the proposed scheme, and establish the conditions that ensure the stability of the proposed filter. The analytical findings are in close accordance with the simulated results.
dc.publisherElsevier BV
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S1434841117301280
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in AEU - International Journal of Electronics and Communications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in AEU - International Journal of Electronics and Communications, 22 January 2017. DOI: 10.1016/j.aeue.2017.01.011
dc.subjectTracking
dc.subjectKalman filtering
dc.subjectinteracting multiple model filter
dc.subjectmaneuvering targets
dc.subjectlow-complexity
dc.titleA low-complexity interacting multiple model filter for maneuvering target tracking
dc.typeArticle
dc.contributor.departmentKing Abdullah University of Science & Technology, Thuwal 23955, Saudi Arabia
dc.identifier.journalAEU - International Journal of Electronics and Communications
dc.eprint.versionPost-print
dc.contributor.institutionCOMSATS Institute of Information Technology, Islamabad 44000, Pakistan
kaust.personAbrar, Shafayat
refterms.dateFOA2019-01-22T00:00:00Z
dc.date.published-online2017-01-22
dc.date.published-print2017-03


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