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首页> 外文会议>2011 International Conference on Emerging Trends in Electrical and Computer Technology >Bandwidth enhancement of a notch square shaped microstrip patch antenna using neural network approach
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Bandwidth enhancement of a notch square shaped microstrip patch antenna using neural network approach

机译：利用神经网络方法增强缺口方形微带贴片天线的带宽

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摘要

In this paper we present a novel approach to improve the bandwidth of the microstrip antenna using neural network. This novel design of a microstrip patch antenna operating at a frequency of 2.5GHz. The designed antenna operates in a dual band operation. Using IE3D, the return loss values and the bandwidth are calculated. Further, using neural network technique the bandwidth is calculated. Both the results are compared. The neural network based results shows improved bandwidth compared with the IE3D results. The neural network is trained by giving sufficient input datas and the back propagation method is employed to bring the output. Details of the proposed antenna and the simulated results are presented.
机译：在本文中，我们提出了一种使用神经网络改善微带天线带宽的新颖方法。微带贴片天线的这种新颖设计以2.5GHz的频率工作。设计的天线以双频运行。使用IE3D，可以计算回波损耗值和带宽。此外，使用神经网络技术来计算带宽。将两个结果进行比较。与IE3D结果相比，基于神经网络的结果显示出更高的带宽。通过提供足够的输入数据来训练神经网络，并采用反向传播方法带来输出。提出了拟议天线的细节和仿真结果。

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