摘要
基于遗传算法的激励优化算法是求解阵列天线波束赋形问题时常用的激励求解算法。传统遗传算法在优化阵列天线激励时,对阵元天线方向图矢量叠加获得阵列天线合成方向图后,与目标方向图做相似度判断,经过多次运算获得满足设计要求的激励值。然而算法中通常不关注赋形结果的副瓣抑制,导致阵列天线波束赋形结果副瓣抑制效果不理想。该文提出一种基于一组低副瓣波束线性叠加的波束合成机制,将合成方向图与目标方向图做相似对比,结合遗传算法的优化求解方法,最终获得与目标方向图匹配的合成方向图,且合成方向图具有高副瓣抑制的特性。以一款16阵元X波段微带偶极子线性阵列天线为例,该文提出的具有副瓣抑制机制的遗传算法求得的赋形波束获得了-27.5 dBc的副瓣抑制效果,远远好于传统遗传算法求得的赋形波束-19 dBc的副瓣抑制。
Excitation optimization algorithm based on Genetic Algorithm（GA） is mainly used to solve the excitation problems of array antenna beam shaping. When optimizing the excitation of array antenna by traditional genetic algorithm, the beam of array antenna is synthesized by radiation shape of elements in antenna array, and then the results will be compared with the target pattern. After several operations, the excitation will meet the deign requirements. However, in traditional genetic algorithm, neglected suppression of side lobe leads to an unsatisfactory high level side lobe. In this paper, a new method of beam synthesizing by peak beam of array antenna is proposed. By comparing the shape of synthesized beam with target beam and combining with traditional GA, the synthesized beam matching the target beam with low side lobe will be obtained. Taking a 16 elements X band micro-trip dipole linear array antenna as an example, the results of simulation show that array antenna has high level side lobe suppression at about-27.5 d Bc using the method proposed in this paper, which is much better than-19 dBc side lobe suppression using traditional GA.
出处
《电子与信息学报》
EI
CSCD
北大核心
2017年第3期690-696,共7页
Journal of Electronics & Information Technology
关键词
阵列天线
遗传算法
副瓣抑制
Antenna arrays
Genetic Algorithm（GA）
Side lobe suppression
