基于遗传算法的低频不规则天线阵综合

Synthesis of Low Frequency Irregular Antenna Array Based on Genetic Algorithm

低频天线工作波长长，辐射性能受载机影响大，且阵列布局受限于安装环境极不规则，从而造成副瓣电平抬高和方向图恶化，传统的阵列综合方法将难以适用，文中采用遗传算法并结合载机影响来优化，以实现所期望的平均副瓣。作为一种优化算法，它能解决一些Ⅳ维和非线性的优化问题。首先，给出了任意阵列的方向图公式；其次，介绍了遗传算法；最后，给出了应用实例及其优化结果。结果表明，该算法是一种解决多维和非线性问题的行之有效的方法。

Radiation performance of low frequency antenna array would be greatly affected by carrier aircraft because of long operating wavelength. In addition, array distribution is irregular due to installation environment restriction, which may lead to higher sidelobe level and deterioration of antenna pattern. Traditional array synthesis method is difficult to be applied in this case for some limitations. Considering impact of the carrier aircraft, the GA method is proposed for optimizing to obtain desired average sidelobe level. The GA method can solve N dimension and nonlinear optimizing problems. Radiation pattern formula of random array is provided, GA method is introduced, and an optimal example is given. The optimal results show that the GA method is an effective method for solving multidimension and nonlinear problem.