Multi-Objective Intelligent Optimization Design Method of Microstrip Antenna Based on Back Propagation Neural Network

Antenna plays an important role in modern communication. Accurate calculation of antenna structure to obtain reasonable electromagnetic characteristic parameters is an important part of antenna design. With the increasing complexity of the antenna structure, a large number of numerical calculations are required in the design process to determine the optimal structure size. Therefore, it’s necessary to study the fast optimization algorithm of antenna multi-objective (antenna bandwidth, gain, polarization characteristics, etc) optimization design method. In this paper, a new adaptive BF neural network is proposed to optimize the resonant frequency and size structure of dual frequency circular polarization microstrip antenna, so as to improve the efficiency of antenna design.