Genetic Algorithm Optimization of a Dual Polarized Concentric Ring Array

We use a genetic algorithm to minimize the relative sidelobe level (RSLL) of a dual polarized concentric ring array. The optimization variables are the placement of uniformly weight spiral antennas in an aperture with a small area. We optimized a cost function with isotropic sources instated of spir...

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Veröffentlicht in:Applied Computational Electromagnetics Society journal 2019, Vol.34 (5), p.815
Hauptverfasser: Pedro Mendes Ruiz, Hinostroza Sáenz, Israel D, Régis Guinvarc’h, Haupt, Randy
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Sprache:eng
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Zusammenfassung:We use a genetic algorithm to minimize the relative sidelobe level (RSLL) of a dual polarized concentric ring array. The optimization variables are the placement of uniformly weight spiral antennas in an aperture with a small area. We optimized a cost function with isotropic sources instated of spiral elements to make the cost function reasonable to evaluate. We developed approaches to calculate a faster cost function and reduce the number of function calls in the optimization. We then calculated the array with an approximation of the element pattern to evaluate its performances.
ISSN:1054-4887
1943-5711