A low-complexity interacting multiple model filter for maneuvering target tracking

Handle URI:
http://hdl.handle.net/10754/622716
Title:
A low-complexity interacting multiple model filter for maneuvering target tracking
Authors:
Khalid, Syed Safwan; Abrar, Shafayat
Abstract:
In 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.
KAUST Department:
King Abdullah University of Science & Technology, Thuwal 23955, Saudi Arabia
Citation:
Khalid 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.
Publisher:
Elsevier BV
Journal:
AEU - International Journal of Electronics and Communications
Issue Date:
22-Jan-2017
DOI:
10.1016/j.aeue.2017.01.011
Type:
Article
ISSN:
1434-8411
Additional Links:
http://www.sciencedirect.com/science/article/pii/S1434841117301280
Appears in Collections:
Articles

Full metadata record

DC FieldValue Language
dc.contributor.authorKhalid, Syed Safwanen
dc.contributor.authorAbrar, Shafayaten
dc.date.accessioned2017-01-24T08:30:06Z-
dc.date.available2017-01-24T08:30:06Z-
dc.date.issued2017-01-22en
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.en
dc.identifier.issn1434-8411en
dc.identifier.doi10.1016/j.aeue.2017.01.011en
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.en
dc.publisherElsevier BVen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S1434841117301280en
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.2017.01.011en
dc.subjectTrackingen
dc.subjectKalman filteringen
dc.subjectinteracting multiple model filteren
dc.subjectmaneuvering targetsen
dc.subjectlow-complexityen
dc.titleA low-complexity interacting multiple model filter for maneuvering target trackingen
dc.typeArticleen
dc.contributor.departmentKing Abdullah University of Science & Technology, Thuwal 23955, Saudi Arabiaen
dc.identifier.journalAEU - International Journal of Electronics and Communicationsen
dc.eprint.versionPost-printen
dc.contributor.institutionCOMSATS Institute of Information Technology, Islamabad 44000, Pakistanen
kaust.authorAbrar, Shafayaten
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