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A Hybrid Approach on Metamaterial-Loaded Fractal Antenna Design

机译:超材料加载分形天线设计的混合方法

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The paper provides the interoperable hybrid Grasshopper-Grey Wolf optimization (GHGWO) of the Square Split-Ring Resonator (SRR) metamaterial unit cell. This paper discusses the complex phase strategies of the electric and magnetic interplay of the charged microstrip line of the split ring resonator (SRR). Optimized unit of metamaterial cells for their bandwidth enhancement is packed into a new square fractal antenna. In the interim period of dual band efficiency, a new design is introduced for a microstrip line-feeding square fractal antenna with a faulty ground composition. In the second stage, a quasi-static SRR model is being used to streamline its structural parameters in an effort to reinforce the bandwidth so that optimized composition resonates at the required intensity area. In the GHGWO hybrid algorithm, SRR unit cell size limitations should be optimized and the convergence actions of the algorithm improved. Certain evolutions termed modified hybrid BF-PSO classical BFO, chaos PSO and IWO are being tested for efficiency of the Hybrid GHGWO algorithm. In the final stage, optimized SRR unit cells are stacked into a square fractal antenna that provides bandwidth output suited to wireless usages with upper and lower band. The prototype square fractal antenna without and with SRR unit cells is efficiently evaluated by trial results.
机译:本文提供了方形分流环谐振器(SRR)超材料单元电池的可互操作的混合蚱蜢 - 灰羽狼优化(GHGWO)。本文讨论了分流环谐振器(SRR)的带电微带线的电气和磁性相互作用的复杂相策略。它们的带宽增强的超高度电池的优化单元填充到新的方形分形天线中。在双带效率的临时期间,引入了一种具有故障接地组合物的微带线馈送方形分形天线的新设计。在第二阶段,准静态SRR模型用于简化其结构参数,以努力加强带宽,使得优化的组合物在所需的强度区域处产生谐振。在GHGWO混合算法中,应优化SRR单位单元格尺寸限制,算法的收敛动作得到了改进。在混合动力GHGWO算法的效率下测试了定期的改进混合BF-PSO经典BFO,CHAOS PSO和IWO。在最终阶段,优化的SRR单元电池堆叠到方形分形天线中,提供适合于具有上部和下频段的无线使用的带宽输出。通过试验结果有效地评估了没有SRR单元细胞的原型方形分形天线。

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