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Particle-Swarm Optimization in Antenna Design: Optimization of Log-Periodic Dipole Arrays

机译:天线设计中的粒子群优化:对数周期偶极子阵列的优化

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摘要

This paper presents a short tutorial and overview of optimization algorithms based on particle-swarm schemes, and their application to solving electromagnetic problems. As a practical example, a particle-swarm optimization (PSO) tool has been applied in conjunction with the Numerical Electromagnetics Code (NEC) to get the design curves of optimized log-periodic dipole arrays (LPDAs). The graphs show the performance of several radiation parameters (directive gain, front-to-back ratio, bandwidth, SWR, and half-power beamwidth in the E and H planes) as a function of typical design parameters of log-periodic dipole arrays (geometrical parameters and characteristics of the feed). Examples of optimized antennas are given, and their performance is compared to that of standard log-periodic dipole arrays.
机译:本文简要介绍了基于粒子群算法的优化算法及其在解决电磁问题中的应用。作为一个实际示例,已将粒子群优化(PSO)工具与数值电磁代码(NEC)结合使用,以获取优化的对数周期偶极子阵列(LPDA)的设计曲线。这些图显示了几个辐射参数(E和H平面中的定向增益,前后比,带宽,SWR和半功率波束宽度)的性能,它们是对数周期偶极子阵列典型设计参数的函数(饲料的几何参数和特性)。给出了优化天线的示例,并将其性能与标准对数周期偶极子阵列的性能进行了比较。

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