Nonuniform Planar Array Synthesis Including Mutual Coupling Effects Based on ANN

Abstract

A nonuniform planar array synthesis method considering mutual coupling effects is proposed in this paper. The proposed method consists of two steps. In the first step, the active element patterns and the passive S parameters of the synthesized planar array with different location distributions are modeled by artificial neural networks. In the second step, the differential evolution algorithm is applied to optimizing the positions and excitations of the elements in the nonuniform planar array to make the radiation pattern and active S parameters of the synthesized array satisfy the requirements. Since the limitations of the active S parameters are considered in the optimization process, the synthesis results obtained by the proposed method are applicable to both transmitting arrays and receiving arrays. An example of a microstrip array synthesis problem is presented to prove the effectiveness and correctness of the proposed method.