TY - JOUR
T1 - Statistical monitoring of linear antenna arrays
AU - Harrou, Fouzi
AU - Sun, Ying
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2016/11/3
Y1 - 2016/11/3
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/621881
UR - http://www.sciencedirect.com/science/article/pii/S2215098616305900
UR - http://www.scopus.com/inward/record.url?scp=85044326438&partnerID=8YFLogxK
U2 - 10.1016/j.jestch.2016.10.010
DO - 10.1016/j.jestch.2016.10.010
M3 - Article
SN - 2215-0986
VL - 19
SP - 1781
EP - 1787
JO - Engineering Science and Technology, an International Journal
JF - Engineering Science and Technology, an International Journal
IS - 4
ER -