基于遗传算法的低副瓣阵列天线综合  

Low-side-lobe pattern synthesis of antenna array by genetic algorithm

作　　者：边莉[1] 车向前[2] 杨国辉[1] 孟繁义[1] 吴群[1] 

机构地区：[1]哈尔滨工业大学电子与信息技术研究院 [2]黑龙江科技学院计算机与信息工程学院,哈尔滨150027

出　　处：《计算机应用》2008年第7期1656-1658,1661,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(60571026);电波环境特性及模化技术国家重点实验室项目(514860303HT0101);黑龙江省教育厅科学研究项目(11521251)

摘　　要：为得到更低副瓣的方向图,建立16单元线天线阵和32×32单元面天线阵遗传算法模型,并对这两类阵列天线方向图进行综合。将综合仿真结果与Chebyshev、Taylor两种传统综合方法进行比较。比较结果表明,遗传算法优化方向图的第1副瓣电平可达-40 dB,且优化效率比传统方法高很多。为遗传算法在阵列天线方向图综合中的应用提供了技术支持。In order to get the lower-side-lobe pattern, Genetic Algorithm models of the 16 elements linear array antennas and the 32 × 32 elements planar array antennas were presented. The two kinds of the array antennas patterns were synthesized. And, the synthesized emulation results of the genetic algorithm and Chebyshev, Taylor classical methods were compared. The results of the comparisons show that the first side-lobe level of the optimization pattern using the genetic algorithm reaches at - 40 dB and the optimization efficiency is higher than the classical methods. The technology supports to the applications of the array antennas synthesis using the Genetic Algorithm were given.

关 键 词：遗传算法 低副瓣 阵列天线 天线综合 

分 类 号：TN821.8[电子电信—信息与通信工程]