Non-periodic and Conformal Antenna Arrays Design Using Parallel Evolutionary Algorithm Based on GA and PSO

Abstract

In the theory of synthesis of MIMO antenna arrays for mm-Wave and THz applications, methods based on some a priori assumptions either about the amplitude-phase distribution over the length of the array are often used. Also the spatial location with the subsequent solution of the optimization problem is a common task in the conformal antennas design. In this paper, we analyze the possibilities of synthesizing a non-uniformly spaced array equivalent to a uniform one with a given amplitude-phase distribution. We synthesized the arrangement of elementary emitters with a known radiation pattern for the optimal antenna array by the criterion of sidelobe level suspension using two modifications of the particle swarm method and a genetic algorithm. This is implemented using evolutionary programming-real valued genetic algorithm (GA) and particle swarm optimization algorithm (PSO) under some constraints, minimizing the maximum side-lobe level of the planar array. It is shown that the proposed method can significantly reduce the pattern distortion as well as the side-lobe level. The obtained numerical results are compared with each other. The Best-Weights for 18 elements array are listed. The radiation patterns are presented for different number of elements.