Optimización de superficies selectivas en frecuencia monocapa mediante BPSO y CG-FFT

Abstract

A single-layer frequency selective surface (FSS) optimization scheme that combines a Binary Particle Swarm Optimizer (BPSO) with the CG-FFT method, is presented in this work. The BPSO algorithm uses the FSS reflection and transmission coefficients obtained with CG-FFT to carry out the optimization of the FSS geometry, period, and adjacent dielectric materials (thickness and dielectric constant), as required. Optimization constraints are stated in terms of reflection and transmission coefficient masks as a function of frequency. Half-, quarter- and eight-folded symmetry restrictions can be incorporated, if desired, during the optimization process. A summary of results is presented and the pros and cons of the approach are discussed.