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Synthesis of Asymmetric Radiation Patterns with Non-Uniform Linear Arrays Using Evolutionary Algorithms

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This paper presents a comparative study of five evolutionary algorithms for applications in the synthesis of asymmetric radiation patterns in order to adapt the levels of lateral lobes and main beam steering in non-uniform linear arrays. As a result of the study, it is concluded that differential evolution algorithms allow improving parameters such as the side lobe levels equalized at different flat levels to the left (SLLL) and to the right (SLLR) of the main beam, achieving values of SLLR = -25 dB and SLLL = -35 dB, exceeding some results of works published in the literature. The validation strategy of the proposal makes use of the magnitudes and phases of excitation along with the separations between elements obtained through the algorithms studied in order to design and excite arrays of λ/2 dipoles placed above ground plane operating at a frequency of 1.8 GHz. The proposal was assessed and evaluated by electromagnetic simulation software (HFSS).
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Asymmetric Radiation Pattern Synthesis; Evolutionary Algorithms; Differential Evolution Algorithm; Firefly Algorithm; Genetic Algorithm; Linear Antenna Arrays; Non-Uniform Arrays; Particle Swarm Optimization; Tabu Search

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