Open AccessComprehensive study of linear antenna array optimisation using the cuckoo search algorithm
Author(s) -
Khodier Majid
Publication year - 2019
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.2018.5649
Subject(s) - cuckoo search , beamwidth , robustness (evolution) , antenna array , main lobe , side lobe , algorithm , radiation pattern , antenna (radio) , computer science , electronic engineering , engineering , telecommunications , particle swarm optimization , biochemistry , chemistry , gene
This study presents a comprehensive study of the design and optimisation of linear antenna arrays using the cuckoo search (CS) algorithm. The method is used to control important radiation characteristics of the antenna arrays (such as side‐lobe level, beamwidth, nulls) by optimising the parameters of the array elements (amplitude, phase, and position). Different design examples are presented that illustrate the robustness of the CS algorithm and its ability in achieving the design goals. The considered design examples clearly show that the CS algorithm is a simple and yet a powerful optimisation tool that can be used in antenna array design problems with great confidence.