基于遗传算法的线阵天线优化

基于遗传算法的线阵天线优化

内容简介：运用遗传算法对较为广泛应用的线阵天线进行优化设计与分析. 详细讨论遗传算法应用于线阵优化的基本问题,将矩量法和遗传算法相结合优化出八木宇田天线阵和对数周期天线阵,两种天线优化后电性能和有关文献相比有较大提高,尤其是在降低对数周期天线方向图波瓣前后比时无须增加天线结构,同时可以优化驻波系数、增益等重要参数,从而实现天线指标的最优调和,表明遗传算法在线阵优化上具有极强的适用性.

Abstract：The methods of moment and genetic algorithm (GA) are combined to optimize the Yagi-Uda antenna array and Log-periodic dipole antenna (LPDA) array. The element lengths and spacing are optimized for the Yagi-Uda array; while the ratio factor of spacing to length as well as the ratio of length to diameter of the elements are optimized for LPDA array. The results show that the main parameters, such as gain and pattern, have been improved apparently; and the high back lobe level of LPDA can be reduced greatly, therefore, GA is a very competent method for optimizing the linear array as well as in other fields.

作者：王宏建, 高本庆, 刘瑞祥,

关键词：增益, 前后瓣比, 遗传算法, 优化, 八木宇田天线, 对数周期天线,