Outlier Detection-aided Supervised Learning for Modeling of Thinned Cylindrical Conformal Array

Abstract

In this paper, a scheme of outlier detection-aided supervised learning (ODASL) is proposed for analyzing the radiation pattern of a thinned cylindrical conformal array (TCCA), considering the impact of mutual coupling. The ODASL model has the advantage in speed improvement and memory consumption reduction, which enables a quick generation of the synthesis results with good generalization. The utilization of the active element pattern (AEP) technique in the model also contributes to the prediction of the array performance involving mutual coupling. The effectiveness of the ODASL model is demonstrated through a numerical example of the 12-element TCCA.