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Iterative GA Optimization Scheme for Synthesis of Radiation Pattern of Linear Array Antenna

机译:线性阵列天线辐射方向图综合的迭代遗传算法优化方案

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This research has proposed the iterative genetic algorithm (GA) optimization scheme to synthesize the radiation pattern of an aperiodic (nonuniform) linear array antenna. The aim of the iterative optimization is to achieve a radiation pattern with a side lobe level (SLL) of <= 20 dB. In the optimization, the proposed scheme iteratively optimizes the array range (spacing) and the number of array elements, whereby the array element with the lowest absolute complex weight coefficient is first removed and then the second lowest and so on. The removal (the element reduction) is terminated once the SLL is greater than -20 dB (>- 20 dB) and the elemental increment mechanism is triggered. The results indicate that the proposed iterative GA optimization scheme is applicable to the nonuniform linear array antenna and also is capable of synthesizing the radiation pattern with SLL <= -20 dB.
机译:这项研究提出了一种迭代遗传算法(GA)优化方案,以合成非周期性(非均匀)线性阵列天线的辐射方向图。迭代优化的目的是实现旁瓣电平(SLL)<= 20 dB的辐射方向图。在优化中,所提出的方案迭代地优化了阵列范围(间距)和阵列元件的数量,从而首先去除了具有最低绝对复数权重系数的阵列元件,然后又去除了第二最低的阵列权重系数,依此类推。一旦SLL大于-20 dB(>-20 dB),终止移除(元素减少),并触发元素增量机制。结果表明,所提出的迭代遗传算法优化方案适用于非均匀线性阵列天线,并且能够合成SLL <= -20 dB的辐射方向图。

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