SWARM INTELLIGENCE BASED OPTIMAL DESIGN OF CONCENTRIC CIRCULAR ANTENNA ARRAY

Abstract

In this paper the maximum sidelobe level (SLL) reductions for various designs without and with central element feeding in three-ring concentric circular antenna arrays (CCAA) are examined using two novel variants of particle swarm optimization techniques as (i) an improved particle swarm optimization technique (IPSO) and (ii) a novel particle swarm optimization technique (NPSO) to finally determine the global optimal three-ring CCAA design. Real coded Genetic Algorithm (RGA) is also employed for comparative optimization but it proves to be suboptimal. Among the various CCAA designs, the design containing 4, 6 and 8 elements along with central element feeding in three successive concentric rings proves to be such global optimal design with minimum SLL (-18.40 dB) determined by IPSO and (-19.69 dB) determined by NPSO.