In this paper, the design of frequency reconfigurable planar antenna by incorporation of metasurface superstrate (FRPA-MSS) is presented using an artificial neural network. The dual-layer radiating structure is created on a 1.524 mm thick Rogers RO4350B substrate board (εr = 3.48, tan δ = 0.0037). The candidate antenna is designed and analyzed using a high-frequency structure simulator (HFSS) tool. The transfer matrix method is employed for the successful retrieval of electromagnetic properties of the metamaterial. Frequency reconfiguration is achieved by placing the metasurface superstrate onto the rectangular patch antenna. A simplified ANN approach has been employed for the design of metasurface incorporated proposed antenna. Presented prototypes are characterized through experimental measurements. It is found from the practical observations that the proposed antenna effectively reconfigures the tuning range from 5.03 to 6.13 GHz. Moreover, the presented antenna operates efficiently with agreeable gain, good impedance matching, and stable pattern characteristics across the entire operational bandwidth. The experimental results obtained validate the simulated performance.

在本文中，使用人工神经网络提出了通过结合超表面覆板 (FRPA-MSS) 来设计频率可重构平面天线。双层辐射结构是在 1.524 mm 厚的 Rogers RO4350B 基板上创建的 ( ε r = 3.48, tan δ= 0.0037)。使用高频结构模拟器 (HFSS) 工具设计和分析候选天线。转移矩阵方法用于成功检索超材料的电磁特性。通过将超表面覆板放置在矩形贴片天线上来实现频率重构。一种简化的人工神经网络方法已被用于设计包含超表面的提议天线。提出的原型是通过实验测量来表征的。从实际观察中发现，所提出的天线有效地重新配置了从 5.03 到 6.13 GHz 的调谐范围。此外，所提出的天线在整个工作带宽内以良好的增益、良好的阻抗匹配和稳定的方向图特性有效地工作。