增加主瓣增益控制的阵列天线方向图综合遗传算法

Genetic Algorithm of Array Antenna Synthesis with Main Lobe Control

摘要:

阵列天线方向图综合是针对阵列天线方向图进行的相关研究中的一项基础性的研究内容。不同的应用场景中不仅需要设计形式不同的天线阵列，更需要阵列天线方向图并根据不同的性能参数指标要求进行分析优化，从而获得符合使用要求的阵列方向图。针对传统阵列天线方向图综合算法在方向图综合过程中未考虑主瓣增益约束的问题，提出了一种用于阵列天线方向图综合的改进遗传算法。在经典遗传算法的基础上设计了新的适应度函数以满足特殊情况下对主瓣增益进行约束的需求；并在算法计算过程中增加了精英保留策略，设计了随进化代数改变的交叉、变异概率。经仿真实验，结果表明所提算法能够在阵列天线方向图综合时在保证主瓣方向上的增益满足要求的同时可以获得相对低的副瓣电平水平。

Abstract:

Array antenna Synthesis is a basic research content of array antenna pattern. In different application scenarios, it is not only necessary to design antenna arrays in different forms, but also to combine array orientations and conduct analysis and optimization according to the requirements of different performance parameters, so as to obtain array orientations that meet the use requirements. In order to solve the problem that the traditional algorithm did not consider the main lobe gain constraint in pattern synthesis, an improved genetic algorithm for array pattern synthesis was proposed. A new fitness function is designed to meet the special requirement of the main lobe. At the same time, elite retention strategy is added in the method and dynamic crossover mutation probability is designed to improve the optimization effect of genetic algorithm. Simulation results show that the proposed algorithm can obtain a lower side lobe level with the main lobe gain guaranteed.