Sidelobe reduction in array-pattern synthesis using genetic algorithm
Sidelobe reduction in array-pattern synthesis using genetic algorithm
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DOI：
10.1109/8.596902
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发表时间：
1997-07-01
影响因子：
5.7
通讯作者：
Lu, YL
中科院分区：
文献类型：
--
作者：
Yan, KK;Lu, YL
提出了一种简单灵活的遗传算法（GA），用于任意几何构形的天线阵方向图综合。与传统GA采用二进制编码和二进制交叉不同，该方法直接将阵列激励权向量表示为复数染色体，并采用十进制线性交叉，无需交叉点。给出了问题的更清楚和更简单的表示，简化了染色体构造，并且完全避免了二进制编码和解码，从而简化了软件编程并减少了CPU时间，该方法还允许我们对复激励系数的相位和幅度施加约束，以便在实践中使用数字移相器和数字放大器来优选地实现。成功的应用表明，该方法可作为任意阵列方向图综合的通用工具。
A simple and flexible genetic algorithm (GA) for pattern synthesis of antenna array with arbitrary geometric configuration is presented, Unlike conventional GA using binary coding and binary crossover, this approach directly represents the array excitation weighting vectors as complex number chromosomes and uses decimal linear crossover without crossover site, Compared with conventional GA's, this approach has a few advantages: giving a clearer and simpler representation of the problem, simplifying chromosome construction, and totally avoiding binary encoding and decoding so as to simplify software programming and to reduce CPU time, This method also allows us to impose constraints on phases and magnitudes of complex excitation coefficients for preferable implementation in practice using digital phase shifters and digital attenuators, Successful applications show that the approach can be used as a general tool for pattern synthesis of arbitrary arrays.