基于改进鱼群寻优算法的天线阵方向图综合

摘要

针对传统智能算法对实现多零点低副瓣的阵列方向图综合时存在易陷入早熟收敛的缺陷,融合混沌算法和鱼群算法的各自优点,提出了一种新的改进鱼群寻优算法. 由混沌序列产生初始鱼群,确保其种群的多样性,提高了搜索的遍历性,将人工鱼的视野范围和步进设置为动态渐化,首次成功地利用其实现阵列天线方向图综合,能有效地生成多零陷,并抑制副瓣. 计算结果表明,能利用鱼群寻优算法有效地实现超低副瓣综合和特殊波形赋形.%According to the prematurity and easy trapping in local optimum resulting from traditional intelligence algorithm in the pattern synthesis of antenna arrays with side lobe reduction and nulls control, an improved fish-swarm algorithm is proposed by fusing the advantages of both chaotic algorithm and fish-swarm algorithm. initialize initial shoal with the chaos, the visual area and the step can be adaptively adjusted during the running time, to enhance the diversity dimension, to take the search more widespread, apply this algorithm to the pattern synthesis of antenna arrays successful. Computer simulation results show that the proposed algorithm is more efficiently than the traditional means in global optimization ability.