
Robust mask‐constrained linear array synthesis through an interval‐based particle SWARM optimisation
Author(s) -
Manica Luca,
Anselmi Nicola,
Rocca Paolo,
Massa Andrea
Publication year - 2013
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.2013.0203
Subject(s) - interval (graph theory) , antenna array , particle swarm optimization , tolerance analysis , interval arithmetic , algorithm , set (abstract data type) , mathematical optimization , power (physics) , antenna (radio) , mathematics , computer science , engineering , telecommunications , mathematical analysis , physics , combinatorics , quantum mechanics , engineering drawing , bounded function , programming language
An innovative strategy for the robust design of linear antenna arrays is presented. Being the array elements characterised by tolerance errors, the synthesis is aimed at determining the intervals of values fitting the user‐defined mask constraints on the radiated power pattern. With reference to the upper and lower bounds of the power pattern analytically determined for given tolerances through interval analysis, the nominal excitations of the array elements are then optimised by means of a global stochastic optimiser suitably customised to deal with interval numbers. A set of numerical examples is reported to show the behaviour of the proposed method as well as to assess its potentials in dealing with the robust synthesis of pencil and shaped beams.