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Generator optimization for thinned fractal hexagonal and pentagonal antenna arrays using Ant Colony algorithm

机译:基于蚁群算法的细化六角形和五边形分形天线阵列的发生器优化

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Unique properties of fractals are utilized in a new class of antenna-element designs, called fractal antenna arrays that are multi-band and compact in size. This paper investigates the use of Ant Colony Optimization (ACO) algorithm for thinning fractal antenna arrays by estimating the optimum combination of “on” and “off” elements corresponding to lowest possible Side Lobe Level (SLL). The ACO method is employed to determine the suitable excitation amplitude for each element of the subarray generator, allowing maximum SLL reduction. In order to demonstrate the effectiveness of the proposed method, hexagonal and pentagonal arrays with 6-element concentric circular ring subarray generator are investigated with and without the ACO method. The ACO results are compared with those obtained for the arrays in which all the elements are turned “on”, and the results show the superior performance of the proposed method.
机译:分形的独特性质被用于一类新型的天线元件设计中,这种分形天线阵列是多频带且尺寸紧凑。本文通过估计与最低可能旁瓣电平(SLL)相对应的“开”和“关”元素的最佳组合,研究了蚁群优化(ACO)算法在减薄分形天线阵列中的应用。 ACO方法用于确定子阵列生成器每个元素的合适激励幅度,从而最大程度地降低SLL。为了证明所提方法的有效性,研究了采用和不采用ACO方法的带有六元素同心圆环子阵列发生器的六边形和五边形阵列。将ACO结果与所有元素都“打开”的阵列所获得的结果进行比较,结果表明了该方法的优越性能。

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