Open AccessStudy on the optimal design of frequency selective surfaces based on the discrete particle swarm optimization
Author(s) -
Naiyuan Xu,
Jianjie Gao,
Xin-ling Feng
Publication year - 2014
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.63.138401
Subject(s) - transparency (behavior) , particle swarm optimization , stopband , computer science , range (aeronautics) , optics , swarm behaviour , frequency band , radome , reflectivity , materials science , physics , telecommunications , algorithm , bandwidth (computing) , artificial intelligence , band pass filter , computer security , antenna (radio) , composite material
The requirements of frequency-selective surface (FSS) between high transparency in pass band and high reflectance in stop band are contradictory, when they have loaded medium on one side and receive a large range of illumination. In order to solve the contradiction, this paper employs a discrete particle swarm optimization approach (hereafter referred to as a DPSO). In order to seek a balanced FSS with high transparency in pass band and high reflectance in stop band, the periodic intervals and geometrical dimensions of FSS-structures are optimized and designed by using the DPSO method. Simulation and test results indicate that the FSS of super dense Y loop elements in a half-loaded medium structure is presented in this paper: the transparency in pass band and stop band are 80% and 30% respectively. The DPSO method will offer an excellent FSS for the radome which receives a large range of illumination, and on the other hand, it provides a theoretical guidance for the requirements of FSS between high transparency in pass band and high reflectance in stop band.