摘要
为了解决具有周期性排列规律的同心圆环阵列(Concentric Rings Array,CRA)天线在综合时方向图中存在旁瓣电平高、主瓣较宽等问题,提出一种改进的灰狼算法(Improved Grey Wolf Optimizer,IGWO)。将最小化峰值旁瓣电平(Peak Side Lobe Level,PSLL)设定为优化目标,以环半径、阵元数目及激励幅度作为变量建立一种新型的综合模型,分别在约束主瓣宽度以及限制阵列孔径的前提下,可对旁瓣电平获得理想的旁瓣抑制效果,使阵列性能得到极大提升。仿真表明,改进后的灰狼算法搜索能力强,能够获得具有低旁瓣电平特性的阵列结构。该方法在同心圆环阵列优化中具有可行性。
To solve the problem of beam synthesis in the periodic Concentric Rings Array(CRA),which includes high sidelobe level and wide beamwidth,an Improved Grey Wolf Optimizer(IGWO)is proposed.A comprehensive optimization model is established by setting the lowest Peak Side Lobe Level(PSLL)as the optimization objective.Taking the ring radius,array element number and excitation amplitude as variables,the array optimization under multiple constraints is realized,and the sidelobe performance is greatly improved.The ideal sidelobe suppression effect is obtained under the classical experiment of limiting the main lobe width and the aperture of the array respectively.The results show that the improved grey wolf algorithm has strong searching ability and can obtain the array structure with low sidelobe level,which proves the feasibility of the proposed method in the optimization of concentric rings array.
作者
李和平
哈章
LI Heping;HA Zhang(Southwest China Research Institute of Electronic Equipment,Chengdu 610036,China)
出处
《电子信息对抗技术》
北大核心
2022年第5期76-83,94,共9页
Electronic Information Warfare Technology
关键词
灰狼算法
同心圆环阵列
综合模型
低旁瓣
多约束优化
grey wolf optimizer
concentric rings array
comprehensive model
low sidelobe level
constrain optimization
