论文信息 - Application of the Global Optimization Approaches to Planar Near-Field Antenna Phaseless Measurements

Application of the Global Optimization Approaches to Planar Near-Field Antenna Phaseless Measurements

This paper deals with a method of the radiation pattern determination of the directional antennas. The method combining both the functional minimization method and the Fourier iterative algorithm is based on the phaseless near-field measurement on two plane surfaces. The method is used for a reconstruction of the phase dis- tribution on the aperture of the measured antenna, and for the determination of the antenna radiation pattern, conse- quently. The binary genetic algorithm (BGA), the real- valued genetic algorithm (RVGA), the particle swarm op- timization (PSO), and differential evolutionary algorithm (DEA) were chosen for the global functional minimization. The paper is aimed to analyze the performance of the global optimizations (GOs) when solving the described problem, and to compare the GOs. GOs were examined through data achieved by measurement of a horn antenna and a parabola.

J. Puskely | Z. Novacek

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