Thinned arrays using genetic algorithms
Thinned arrays using genetic algorithms
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DOI：
10.1109/aps.1993.385248
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发表时间：
1993-06
期刊：
影响因子：
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通讯作者：
R. Haupt;J. J. Menozzi-J.;C. J. McCormack
中科院分区：
文献类型：
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作者：
R. Haupt;J. J. Menozzi-J.;C. J. McCormack
它示出了如何应用遗传算法（GAs）到达一个最佳的稀疏阵列。一致的GA结果从五个阵列细化优化的50个元素的各向同性点源的线性阵列。所有运行都在0.8dB范围内。示出了从GA优化得到的50元件阵列的样本远场图案。阵列方向图的最低最大旁瓣电平进行了优化。它的结论是遗传算法是理想的优化稀疏的阵列。基因中的位对应于打开或关闭元件。虽然GA速度很慢，但它可以处理涉及许多天线元件的非常大的问题。
It is shown how to apply genetic algorithms (GAs) to arrive at an optimally thinned array. Consistent GA results from five array thinning optimizations for a 50-element linear array of isotropic point sources are shown. All of the runs are within 0.8dB of one another. A sample far-field pattern for the 50-element array resulting from the GA optimization is shown. The array patterns are optimized for the lowest maximum sidelobe level. It is concluded that a GA is ideal for optimizing the thinning of an array. The bits in a gene correspond to turning the element on or off. Although a GA is slow, it can handle very large problems involving many antenna elements.>