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Synthesis of Thinned Array Antenna with Convolutional Neural Network

In this paper, a thinned array synthesis method based on convolutional neural network is proposed. Different from the full array, thinned arrays cannot be synthesized by conventional methods. If the full-wave simulation method is adopted, the cost of the array synthesis will increase. The method proposed in this paper only needs to use a small amount of simulation data to obtain the relationship between the feed phase and the beam direction. The training set used is the feed phase and the corresponding pattern at 30° intervals. A 16 × 16 full array and three different thinned arrays are used to test. The results show that the convolutional neural network can keep good accuracy under these conditions.