Detection of Defective Elements in Array Antennas Using Artificial Neural Networks and Eigenmode Currents

K. Konno, Xin Wang, Qiang Chen
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Abstract

A method for finding defective elements in array antennas is introduced. The method is named as ANN-EC because the method is based on an artificial neural network (ANN) and eigenmode currents (EC). Current distribution of the array antennas is reconstructed from magnitude of their near-field using the ANN-EC. The ANN-EC is applied to dipole array antennas including defective elements. It is demonstrated that defective elements in the array antennas can be found successfully using the ANN-EC.
基于人工神经网络和特征模电流的阵列天线缺陷元件检测
介绍了一种发现阵列天线中缺陷元件的方法。该方法基于人工神经网络(ANN)和特征模电流(EC),因此被命名为ANN-EC。利用ANN-EC从阵列天线的近场大小重构了阵列天线的电流分布。ANN-EC应用于含有缺陷元件的偶极子阵列天线。结果表明,利用ANN-EC可以成功地发现阵列天线中的缺陷元件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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