Far-field reconstruction based on compression method from cylindrical near-field phaseless measurements

Abstract

A novel minimization method based on the principle of Fourier iterative method combining a global optimization with a compression method is used. The method uses conventional amplitude measurements on two surfaces placed in different distances from the antenna aperture. The global Particle Swarm Optimization (PSO) is used to minimize the fitness function (functional) and the Discrete Cosine Transform (DCT) is considered to reduce the number of unknown variables. The proposed method was applied for the reconstruction of the antenna array radiation patterns from data measured on the cylindrical surfaces.