Fault feature extraction and diagnosis of phased array element based on wavelet and neural network

In view of phased array antenna transmitting performance test is difficult, a novel method based on wavelet and neural network is proposed. A receiving antenna is utilized to measure the change of the power transmitted by phased array antenna along with scanning. Phased array scanning model is researched. For one-dimensional linear array, wavelet analysis is utilized to extract the fault characteristic vectors, and neural network is utilized to train and classify. Improvement measure is proposed aimed at slow convergence speed. MATLAB Monte Carlo simulation indicates that, proposed method is valid to diagnose phased array element faults in theory.