Synthesis of Thinned Concentric Circular Antenna Arrays Using Modified TLBO Algorithm

Abstract EN

Teaching-learning-based optimization (TLBO) algorithm is a new kind of stochastic metaheuristic algorithm which has been proven effective and powerful in many engineering optimization problems.

This paper describes the application of a modified version of TLBO algorithm, MTLBO, for synthesis of thinned concentric circular antenna arrays (CCAAs).

The MTLBO is adjusted for CCAA design according to the geometry arrangement of antenna elements.

CCAAs with uniform interelement spacing fixed at half wavelength have been considered for thinning using MTLBO algorithm.

For practical purpose, this paper demonstrated SLL reduction of thinned CCAAs in the whole regular and extended space other than the phi = 0° plane alone.

The uniformly and nonuniformly excited CCAAs have been discussed, respectively, during the simulation process.

The proposed MTLBO is very easy to be implemented and requires fewer algorithm specified parameters, which is suitable for concentric circular antenna array synthesis.

Numerical results clearly show the superiority of MTLBO algorithm in finding optimum solutions compared to particle swarm optimization algorithm and firefly algorithm.