Detecting failure of antenna array elements using machine learning optimization

Abstract

A Multi-class Support Vector Classifier (SVC) is proposed for planar array failure diagnosis. Extracted feature information from the far field intensity of the array is used to train and test the multi-class SVC, so one can detect the location of failed elements in an array and also the level of failure.