基于混合神经网络的紧凑双频PIFA建模

Ruchi Varma, J. Ghosh
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引用次数: 0

摘要

本文提出了一种紧凑的双频平面倒f天线(PIFA)。双波段是通过在顶部的辐射贴片上插入插槽来实现的。贴片的尺寸为15 × 12 mm2,有限地平面尺寸为44×40mm2,可以方便地集成到手机内部。此外,将混合神经网络(HNN)用于双频PIFA的设计。这种方法更准确,所需时间更少。将HNN计算结果与CST模拟结果进行了比较,发现两者吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of a compact dual band PIFA using hybrid neural network
In this paper, a compact dual band planar inverted-F antenna (PIFA) has been proposed. Dual band is achieved by inserting slots on the top radiating patch. The dimension of the patch is 15 × 12 mm2 and finite ground plane size is 44×40mm2 which can easily be integrated inside the mobile phone. Further, a hybrid neural network (HNN) is used for the design of dual band PIFA. This method is more accurate and requires less time. The HNN results are compared with the CST simulation results and are found to be in good accord.
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