基于AMAGA的天线波瓣综合  

Pattern Synthesis Based on AMAGA

作　　者：王华[1,2] 徐慧[1,2] 李建新[1,2] 

机构地区：[1]南京电子技术研究所,南京210013 [2]天线与微波技术国防科技重点实验室,南京210013

出　　处：《微波学报》2008年第S1期85-88,共4页Journal of Microwaves

摘　　要：提出了一种新型的混合遗传算法—基于排序的主动变异型退火-遗传算法(AMAGA),描述了相控阵天线部分单元仅相位加权降低副瓣方法,并将量化效应考虑在内,避免了量化所带来的误差,计算结果可直接工程应用。部分单元仅相位加权降低副瓣比满阵相位加权更具有可实现性和灵活性。最后给出仿真实例,分析了不同加权单元数的天线性能。This paper proposes a novel mixed genetic algorithm - Active Mutating Anneal-Genetic Algorithm(AMAGA) based on sorting and describes a lowered side lobe method of phased array, which only changes the phases at part of array elements and so called Partly Phase-only Weighting Method (PPWM). Moreover, the resulting phases need not be quantized and can be directly applied to engineering project. In comparison with the fully phase-only weighting method for beam widening, the partly phase-only method for beam wid...

关 键 词：相控阵 低副瓣 部分相位加权 混合遗传算法 

分 类 号：TN821[电子电信—信息与通信工程]