Statistical monitoring of linear antenna arrays
Author(s) -
Fouzi Harrou,
Ying Sun
Publication year - 2016
Publication title -
engineering science and technology an international journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.803
H-Index - 50
ISSN - 2215-0986
DOI - 10.1016/j.jestch.2016.10.010
Subject(s) - antenna (radio) , computer science , mathematics , statistics , telecommunications
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
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