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Non Uniform Element Angular Spacing of a Hemi Spherical Antenna Array for Vector Optimization Employing Natural Computing Techniques

机译:用于载体优化的半球形天线阵列的非均匀元件角间距采用自然计算技术

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This paper presents a pattern synthesis method based on two powerful tools of the Evolutionary computing i.e Differential Evolution, Invasive weed optimization and Firefly technique, to provide a significant side lobe reduction. The Antenna elements are embedded on a hemispherical array that leads to one of the geometry of a conformal shape. The array elements are excited with uniform amplitude excitation and progressively phased. The calculation of the element position is presented. The hemispherical array geometry is designed to meet multi objective criteria such as to achieve the desired side lobe reduction, null point detection and main beam enhancement. The exploitative changes of the Invasive Weed Optimization, Differential Evolution and Firefly algorithms have been applied for this array pattern synthesis. Simulation results of the conformal array design have been presented to illustrate the effectiveness and robustness of the Weed technique on the Differential Evolution and Firefly Algorithm . Empirical results clearly demonstrate the ability of IWO outperforming its competitors. By this method, arrays have the ability to produce the desired radiation pattern and could satisfy requirements for many applications.
机译:本文提出了一种基于进化计算的两个强大工具的图案合成方法I.E差动演进,侵入性杂草优化和萤火虫技术,提供了显着的侧叶。天线元件嵌入到半球形阵列上,该阵列导致保形形状的几何形状之一。阵列元件以均匀的幅度激励激发和逐渐相控。提出了元素位置的计算。半球形阵列几何形状被设计成满足多目标标准,例如实现所需的侧瓣减少,空点检测和主光束增强。侵入性杂草优化,差异演化和萤火虫算法的剥削变化已经应用于该阵列模式合成。提出了仿真结果,以说明杂草技术对差分演进和萤火虫算法的有效性和鲁棒性。经验结果清楚地展示了IWO优于竞争对手的能力。通过这种方法,阵列具有产生所需的辐射模式并满足许多应用的要求。

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