Statistical monitoring of linear antenna arrays

Handle URI:
http://hdl.handle.net/10754/621881
Title:
Statistical monitoring of linear antenna arrays
Authors:
Harrou, Fouzi; Sun, Ying ( 0000-0001-6703-4270 )
Abstract:
The paper concerns the problem of monitoring linear antenna arrays using the generalized likelihood ratio (GLR) test. When an abnormal event (fault) affects an array of antenna elements, the radiation pattern changes and significant deviation from the desired design performance specifications can resulted. In this paper, the detection of faults is addressed from a statistical point of view as a fault detection problem. Specifically, a statistical method rested on the GLR principle is used to detect potential faults in linear arrays. To assess the strength of the GLR-based monitoring scheme, three case studies involving different types of faults were performed. Simulation results clearly shown the effectiveness of the GLR-based fault-detection method to monitor the performance of linear antenna arrays.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Harrou F, Sun Y (2016) Statistical monitoring of linear antenna arrays. Engineering Science and Technology, an International Journal 19: 1781–1787. Available: http://dx.doi.org/10.1016/j.jestch.2016.10.010.
Publisher:
Elsevier BV
Journal:
Engineering Science and Technology, an International Journal
Issue Date:
3-Nov-2016
DOI:
10.1016/j.jestch.2016.10.010
Type:
Article
ISSN:
2215-0986
Additional Links:
http://www.sciencedirect.com/science/article/pii/S2215098616305900
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorHarrou, Fouzien
dc.contributor.authorSun, Yingen
dc.date.accessioned2016-11-24T13:47:31Z-
dc.date.available2016-11-24T13:47:31Z-
dc.date.issued2016-11-03en
dc.identifier.citationHarrou F, Sun Y (2016) Statistical monitoring of linear antenna arrays. Engineering Science and Technology, an International Journal 19: 1781–1787. Available: http://dx.doi.org/10.1016/j.jestch.2016.10.010.en
dc.identifier.issn2215-0986en
dc.identifier.doi10.1016/j.jestch.2016.10.010en
dc.identifier.urihttp://hdl.handle.net/10754/621881-
dc.description.abstractThe paper concerns the problem of monitoring linear antenna arrays using the generalized likelihood ratio (GLR) test. When an abnormal event (fault) affects an array of antenna elements, the radiation pattern changes and significant deviation from the desired design performance specifications can resulted. In this paper, the detection of faults is addressed from a statistical point of view as a fault detection problem. Specifically, a statistical method rested on the GLR principle is used to detect potential faults in linear arrays. To assess the strength of the GLR-based monitoring scheme, three case studies involving different types of faults were performed. Simulation results clearly shown the effectiveness of the GLR-based fault-detection method to monitor the performance of linear antenna arrays.en
dc.publisherElsevier BVen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S2215098616305900en
dc.rightsUnder a Creative Commons license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectRadiation patternen
dc.subjectLinear antenna arraysen
dc.subjectHypothesis testingen
dc.subjectFault detectionen
dc.subjectGLR testen
dc.titleStatistical monitoring of linear antenna arraysen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalEngineering Science and Technology, an International Journalen
dc.eprint.versionPublisher's Version/PDFen
kaust.authorHarrou, Fouzien
kaust.authorSun, Yingen
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