Optimización con enjambre de partículas aplicada a la reconstrucción del diagrama de radiación de antenas

Abstract

A particle swarm optimization (PSO) based algorithm applied to antenna far-field radiation pattern prediction from planar near-field data is presented. The radiation of the antenna is modelled using equivalent magnetic surface currents (EMC) whose components are optimized using a global PSO with asynchronous updates of the swarm. A general overview of the PSO algorithm is included and the most widely used schemes of the optimizer are presented and discussed. A parametric study of the main parameters to be tuned in PSO, along with results of near-field to far-field transformation are also included to demonstrate the usefulness of the optimization method.