摘要
该文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),描述了星载SAR天线部分单元仅相位加权波束展宽方法,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波束展宽方法比满阵单元相位加权更具有可实现性和灵活性。文中给出波束展宽实例,宽波束主瓣内凹口可以控制,且波束具有较低的副瓣电平。
This paper proposes a novel mixed genetic algorithm Active Mutating Anneal-Genetic Algorithm（AMAGA） based on sorting and describes an elevation beam widening method of spaceborne SAR antenna, 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 widening is more realizable and more flexible. Simulated examples show that the mainlobe notch of widened beam can be controlled finely with lower sidelobe.
出处
《电子与信息学报》
EI
CSCD
北大核心
2007年第3期540-543,共4页
Journal of Electronics & Information Technology
关键词
SAR
波束展宽
部分相位加权
混合遗传算法
量化
SAR
Beam widening
Partly phase-only weighting
Mixed genetic algorithm
Quantization
