The invention relates to a sparse
antenna array synthesis method based on neural network intelligent solution, and the method comprises the steps: carrying out the full-
wave simulation of an antenna unit according to an array synthesis requirement, obtaining a unit active directional diagram, and constructing a unit active directional diagram
database; constructing an
initial sample set according to the unit active directional diagram and the array numerical
simulation model; randomly dividing the
initial sample set into a
training set and a
verification set, carrying out offline training by utilizing the
training set, and carrying out array comprehensive solution on
verification set data; judging whether the resolving result meets the arraying requirement or not, if not, adopting a convex optimization
algorithm to assist calculation, updating the
data set, and retraining; otherwise, outputting the neural
network model; and through the model, according to the unit spacing constraint and the active directional diagram, sparse
antenna array synthesis is carried out, and array topology is output. The method can achieve the comprehensive settlement of the
antenna array, is high in speed, is high in efficiency, and better accords with a real array
working environment.