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基于遗传算法的圆柱阵列旁瓣电平优化方法
作者姓名:包子阳  陈客松  何子述  韩春林
作者单位:电子科技大学电子工程学院,成都610054
基金项目:国家自然科学基金资助项目(60702070)
摘    要:由于共形阵列所具有的特性,使其正得到日益广泛的应用,但其方向图具有相对主瓣较高的旁瓣电平。为此,文章针对基本的共形阵列——圆柱阵列的天线阵元,应用经典遗传算法进行唯幅度的方向图综合,来优化旁瓣电平。仿真结果表明:该方法可有效降低圆柱阵列的旁瓣电平,为解决此类问题提供了有益的参考。

关 键 词:圆柱阵列  遗传算法  方向图  旁瓣电平

The Method of Optimizing Cylinder Arrays'SLL Based on Genetic Algorithm
Authors:Bao Ziyang  Chen Kesong  He Zishu  Han Chunlin
Institution:(School of Electronics Engineering, University of Electronic Science Technology of China, Chengdu 610054, China)
Abstract:Conformal arrays are widely used because of their characteristic, but their sidelobe levels are high compared with the mainlobe levels. So this paper aims at the basic conformal arrays--cylinder arrays antenna modules, applys the classical genetic algorithm, carries on the amplitude -only pattern synthesis method to optimize the sidelobe level. The simulation result indicated: These methods may reduce the cylinder arrays'sidelobe levels effectively, provide the beneficial reference to solve these kinds of problems.
Keywords:Cylinder arrays Genetic algorithm(GA) Pattern Sidelobe level(SLL)
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