Neural Network Methods for Reduction of Level of Side Lobes in Phased Antenna Arrays

摘要

For phased antenna arrays, the problem of suppression of side lobes in given directions is very important and difficult. The use of use of neural networks makes it possible to considerably simplify the synthesis of such processing in the most complex cases, where the traditional approaches cannot be successfully applied, e.g., for nonequidistant arrays, for optimization of the weight vector under constraints (phase weighting), and others. The results obtained substantiate the efficiency of the approach suggested.