KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Online Publication Date2016-01-11
Print Publication Date2015-12
Permanent link to this recordhttp://hdl.handle.net/10754/595932
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AbstractProper operation of antenna arrays requires continuously monitoring their performances. When a fault occurs in an antenna array, the radiation pattern changes and can significantly deviate from the desired design performance specifications. In this paper, the problem of fault detection in linear antenna arrays is addressed within a statistical framework. Specifically, a statistical fault detection method based on the generalized likelihood ratio (GLR) principle is utilized for detecting potential faults in linear antenna arrays. The proposed method relies on detecting deviations in the radiation pattern of the monitored array with respect to a reference (fault-free) one. To assess the abilities of the GLR based fault detection method, three case studies involving different types of faults have been performed. The simulation results clearly illustrate the effectiveness of the GLR-based fault detection method in monitoring the performance of linear antenna arrays.
CitationHarrou, F., & Sun, Y. (2015). GLRT Based Anomaly Detection for Sensor Network Monitoring. 2015 IEEE Symposium Series on Computational Intelligence. doi:10.1109/ssci.2015.66
Conference/Event name2015 IEEE Symposium Series on Computational Intelligence