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...
出处
《微波学报》
CSCD
北大核心
2008年第S1期85-88,共4页
Journal of Microwaves
关键词
相控阵
低副瓣
部分相位加权
混合遗传算法
Phased array antenna
Low side lobe
Partly phase-only weighting
Mixed genetic algorithm