Open AccessPerformance optimisation of high‐gain antennas using partially reflective cavity resonance
Author(s) -
Kim Dongho,
Kwon OhJin,
Pang HeeSuk,
Kim EunHee
Publication year - 2016
Publication title -
iet microwaves, antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.555
H-Index - 69
eISSN - 1751-8733
pISSN - 1751-8725
DOI - 10.1049/iet-map.2015.0507
Subject(s) - antenna gain , bandwidth (computing) , impedance matching , high gain antenna , antenna (radio) , computer science , electrical impedance , radiation pattern , genetic algorithm , electronic engineering , materials science , acoustics , optics , antenna efficiency , optoelectronics , physics , electrical engineering , telecommunications , engineering , machine learning
The authors propose a new method to optimise the geometry of partially reflective superstrates (PRSs) of resonant‐type antennas, which is suggested to enhance both antenna gain and bandwidth at the same time. Specifically, their approach is about finding optimum arrangement of unit cells printed on PRSs. To construct an optimised PRS, they introduce some defected cells that are not covered with ordinary metallic patterns. By determining optimised arrangement of the defected and ordinary cells, they show that they can further improve impedance matching and radiation bandwidths, total efficiency, and antenna gain all at once. They use a real‐value hybrid genetic algorithm for the optimisation. All experimental data show excellent agreement with predicted ones, which proves the validity of their approach.