Synthesis of sparse planar array using modified Bayesian Optimization Algorithm

Abstract

Controlling the position of elements in sparse planar array would be the hardest work in the synthesis procedure since the array has to satisfy multiple design constraints e.g. number of elements, elements spacing and arrays aperture. In this paper, a simple method is implemented to effectively control 2-D sparse array. The approach implements two sets of data to separately manage the x- and y-coordinate of each element in the array. The array is then synthesized as an optimization problem using the recently improved version of Bayesian Optimization Algorithm. As a proof of concept, the results of a 108 element sparse planar array are here presented and discussed.