小生境遗传算法用于阵列天线方向图综合  

Application of the niche genetic algorithm in antenna array pattern synthesis

作　　者：殷友廷[1] 杨莘元[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《应用科技》2007年第12期12-16,共5页Applied Science and Technology

摘　　要：基于共享函数的小生境遗传算法能克服基本遗传算法易于早熟和局部寻优能力较差等不足,使种群中的个体保持多样性,对这种小生境遗传算法的遗传参数进行部分改进,并将改进后的遗传算法用于线天线阵列的方向图综合.通过与传统的切比雪夫综合方法结果比较发现,该方法在低副瓣方向图综合以及零点形成方面都能得到不错的效果,为其进一步在其他形式天线阵综合中的应用打下基础.Niche genetic algorithm （NicheGA） based on sharing function overcomes the shortcomings of premature and bad local searching capability existed in simple genetic algorithm （SGA）, so that it can well preserve the diversity of populations. This paper improves the parameters of NicheGA and applies the improved genetic algorithm to pattern synthesis of linear antenna array. Compared with the result of Chebyshev pattern synthesis theory, the simulation result indicates that this NicheGA method performs perfectly in the pattern synthesis of low sidelobe linear antenna array and null steering, laying down a foundation for application of other different array antennae.

关 键 词：小生境 遗传算法 阵列天线 方向图综合 

分 类 号：TN821.8[电子电信—信息与通信工程]