One and Two Dimensions Unequally Array Pattern Synthesis with the use of a Modified Particle Swarm Optimization Algorithm

A computationally efficient global optimization method, the adaptive particle swarm optimization (APSO), is proposed for the synthesis of uniform and Gaussian amplitude arrays of two cases, i.e., the prior constraint in the synthesis of the element positions for both the cases is dmin = 0.5 λ, where dmin is the minimum distance between two adjacent elements. The upper limit in the distance between the elements, dmax is varied from 0.5λ to 0.6λ for the first case and from 0.5λ to λ for the second case. The proposed iterative method aims at linear and planar array and the optimization of phasespositions by minimizing the side-lobes level and respecting a beam pattern shape. Selected examples are included, which demonstrate the effectiveness and the design flexibility of the proposed method in the framework of the electromagnetic synthesis of linear and planar antennas arrays. Key-Words: Adaptive particle swarm optimization, unequally spaced linear and planar arrays antennas.