Low Profile Dual Band H-Slotted DGS Based Antenna Design Using ANN for K/Ku Band Applications

2021 8th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2021-04-09 DOI:10.1109/ICEEE52452.2021.9415911

Mohammed Farouk Nakmouche, A. Allam, D. Fawzy, D. Lin

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引用次数: 6

Abstract

In this manuscripts, H-slotted DGS based antenna configuration for K/Ku applications is designed, fabricated and measured using ROHDE & SCHWARZ ZVB20 network analyzer. Simulation studies are performed using Electromagnetic Simulation Software CST Studio Suite. Moreover, a development of Artificial Neural Networks (ANN) model is implemented based on feedforward back-propagation and Bayesian regularization learning algorithm. The optimal position for H-slotted DGS antenna performance is predicted in terms of reflection coefficient and resonance frequency. The antenna is implemented on Rogers RT/Duroid 5880 with relative dielectric constant of 0.0009 and thickness 0.38 mm. It operates at both 15.04 GHz (from 14.87 GHz to 15.208 GHz) and 24.77 GHz (from 24.404 GHz to 25.137 GHz). The antenna achieves gains of 5.59 dB and 6.10 dB and efficiencies of 87 % and 80 % at both frequencies, respectively. The simulation using CST, predicted ANN and measurement results are in good agreement.

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基于人工神经网络的低轮廓双频h槽DGS天线设计

在本文中，使用ROHDE & SCHWARZ ZVB20网络分析仪设计，制造和测量了用于K/Ku应用的基于h槽DGS的天线配置。仿真研究使用电磁仿真软件CST Studio Suite进行。在此基础上，提出了一种基于前馈反向传播和贝叶斯正则化学习算法的人工神经网络模型。从反射系数和谐振频率两方面预测了h槽DGS天线性能的最佳位置。该天线在Rogers RT/Duroid 5880上实现，相对介电常数为0.0009，厚度为0.38 mm。它工作在15.04 GHz(从14.87 GHz到15.208 GHz)和24.77 GHz(从24.404 GHz到25.137 GHz)。该天线在两个频率下的增益分别为5.59 dB和6.10 dB，效率分别为87%和80%。CST仿真结果表明，预测结果与实测结果吻合较好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 8th International Conference on Electrical and Electronics Engineering (ICEEE)

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