The printed reflect-array (RA) is widely used in satellite communication system as a good substitute for the parabolic reflector due to its low profile, easy fabrication, low cost and light weight, but its bandwidth and aperture efficiency are less than the latter. Various optimization methods had been developed for antenna design. One kind of those evolutionary methods outperforms others due to their simple implementation, and no constraints on solution domain. Among them, the Genetic Algorithm (GA) can find global solution with slow convergence speed, while the Particle Swarm Optimization (PSO) converges fast with being easily trapped in local maxima. Thus, the combination of GA and PSO can realize global optimization with fast convergence. In this paper, firstly the reflection phase vs. element sizes is analyzed; and also the phase- and amplitude-distribution of illuminated field at each element depending on the feed pattern and ray-path difference are calculated. Then the GSO algorithm with fast convergence is programmed and then run for the target of maximized gain with wider bandwidth as possible (> 20 %), and restriction of side-lobe-level (SLL< –15 dB), by means of adjusting the parameters as sizes and position of each element.

Broadband Design of Reflect-Array Antenna Using Genetic-Swarm-Optimization Method

MUSSETTA, MARCO;ZICH, RICCARDO;
2007-01-01

Abstract

The printed reflect-array (RA) is widely used in satellite communication system as a good substitute for the parabolic reflector due to its low profile, easy fabrication, low cost and light weight, but its bandwidth and aperture efficiency are less than the latter. Various optimization methods had been developed for antenna design. One kind of those evolutionary methods outperforms others due to their simple implementation, and no constraints on solution domain. Among them, the Genetic Algorithm (GA) can find global solution with slow convergence speed, while the Particle Swarm Optimization (PSO) converges fast with being easily trapped in local maxima. Thus, the combination of GA and PSO can realize global optimization with fast convergence. In this paper, firstly the reflection phase vs. element sizes is analyzed; and also the phase- and amplitude-distribution of illuminated field at each element depending on the feed pattern and ray-path difference are calculated. Then the GSO algorithm with fast convergence is programmed and then run for the target of maximized gain with wider bandwidth as possible (> 20 %), and restriction of side-lobe-level (SLL< –15 dB), by means of adjusting the parameters as sizes and position of each element.
2007
Proceedings of the 2007 International Symposium on Antennas and Propagation
9784885522239
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/674346
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