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

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.