Failure Diagnosis of Antenna Array Using Residual Convolutional Neural Network

The failure of antenna array elements will lead to the change of far-field pattern, so the failure diagnosis of antenna array can be carried out according to the far-field pattern data. In this paper, a new deep learning method based on residual convolutional neural network (CNN) is proposed for antenna array fault diagnosis. Compared with the support vector machine (SVM), the proposed method has good performance in noise environment with different signal-to-noise ratio (SNR). As the failure scenarios become more complex, the accuracy of the proposed method is also discussed.