ABSTRACT

In this paper, the authors propose to design thinned sparse planar array antenna in multiple planes using meta-heuristic optimization algorithm such as Teaching Learning-Based Optimization (TLBO) algorithm. The objective is to achieve the minimum value of side lobe level (SLL) in the radiation pattern in two vertical planes as well as in all vertical planes. The optimal positions of the isotropic antennas in the array are obtained having multiple optimization constraints such as total number of antennas in the array, aperture area and minimum inter-element spacing. The simulation results demonstrate that the proposed method is found to be relatively simpler but promising compared to the results reported using other competitive methods.

摘要

在本文中，作者提出使用元启发式优化算法，如基于教学学习的优化 (TLBO) 算法，在多个平面上设计减薄的稀疏平面阵列天线。目标是在两个垂直平面以及所有垂直平面的辐射方向图中实现旁瓣电平 (SLL) 的最小值。获得阵列中各向同性天线的最佳位置，具有多个优化约束，例如阵列中的天线总数、孔径面积和最小单元间距。模拟结果表明，与使用其他竞争方法报告的结果相比，发现所提出的方法相对简单但很有前景。