| Microstrip antennas have been widely used in military and civilian fields such as Beidou satellite navigation,aircraft communication,and phased array radar due to their low profile,miniaturization,and simple structure.However,due to the structural limitations of microstrip antennas,they still have drawbacks such as narrow bandwidth and low gain.Therefore,it is necessary to optimize the design of microstrip antennas.During the manufacturing of microstrip antennas,they are also affected by the material of the dielectric substrate and the roughness of the surface patch,resulting in insufficient accuracy in their work.Currently,the microstrip antenna is manually optimized using impedance matching technology to modulate the target performance,which is greatly affected by the level of workers’ work,and the consistency of its electrical performance is poor.To solve the above problems,in order to achieve intelligent optimization and automatic impedance matching modulation of microstrip antenna,this paper studies the theoretical model of microstrip antenna,establishes the mapping relationship between the structural size parameters of metal patch on the surface of microstrip antenna,echo scattering curve and impedance characteristics,and optimizes the design of microstrip antenna based on particle swarm optimization algorithm,and extends it to the optimization design of PIFA antenna array,Verify the effectiveness of using particle swarm optimization algorithm for optimization on different types of antennas.This paper explores the main causes of errors in the manufacturing process of microstrip antennas,establishes error models and analyzes the impact of errors on electrical performance parameters.Based on this model,the fitness function of particle swarm optimization algorithm is improved,and a new improved method of particle swarm optimization algorithm is proposed.It is applied to impedance matching,and an experiment is designed to jointly simulate and verify the application of this improved algorithm.On the basis of improving the particle swarm optimization algorithm for optimizing microstrip antennas,a fully automatic impedance matching modulation system is built based on laser etching technology.The feasibility of laser etching microstrip antenna is verified by trial production of quasi Archimedes spiral antenna.Using visual edge detection technology to improve the measurement accuracy of the system for microstrip antennas,and modeling the microstrip antenna based on measured parameters.Using improved particle swarm optimization algorithm to optimize the performance of the antenna model and obtain the size parameters to be processed,the effectiveness of the system design was verified by comparing and analyzing the measured electrical performance results and modeling simulation results after processing. |
PDF Full Text Request