A method has been developed for synthesizing antenna arrays with element failures using a convolutional artificial neural network with two encoders. A neural-network block architecture is proposed for computing the radiation pattern from the amplitude distribution of currents over the antenna-array aperture, enabling unsupervised training of the artificial neural network. The results obtained confirm the feasibility of the developed method.

Keywords: Antenna array synthesis, antenna element failures, radiation pattern, artificial neural network, unsupervised learning.