摘要
针对平面多臂交叉天线阵列,提出了一种获得低最大副瓣高度(MSLL)、窄半功率波束宽度(HPBW)和较少阵元数量的阵列稀布优化方法。并提出了一种基于旋转对称特性的交叉阵列优化模型,应用粒子群优化(PSO)算法对阵列进行优化,引入改进的免疫过程提高个体多样性,从而达到更好的全局搜索效果。仿真结果表明:相比于粒子群算法,改进的免疫粒子群算法优化后的阵列具有较窄HPBW,较低MSLL,较少的阵元数量。
An optimization method of planar cross antenna array with low maximum side lobe level(MSLL),narrow half power beam width(HPBW)and less array elements is proposed.In this method,the mathematical expression of cross array is discussed.Particle swarm optimization(PSO)algorithm is used to optimize the array,immune algorithm is used to improve the individual diversity of the population,so as to achieve better optimization results.this paper introduce a simple and quickly approach to obtain narrow HPBW planar antenna array with few elements and low MSLL.
作者
陈罡
霍达
何志球
龚晚林
徐朝辉
CHEN Gang;HUO Da;HE Zhiqiu;GONG Wanlin;XU Chaohui(School of Electronic Information,Wuhan University,Wuhan 430072,China)
出处
《传感器与微系统》
CSCD
北大核心
2021年第7期28-31,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(41474132)。
关键词
方向图综合
低单元数量
稀布阵列
粒子群优化算法
pattern synthesis
few elements
sparse antenna array
particle swarm optimization(PSO)algorithm
