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Bacterial Foraging Optimization Technique to Calculate Resonant Frequency of Rectangular Microstrip Antenna

机译:细菌觅食优化技术计算矩形微带天线的谐振频率

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摘要

Resonant frequency of rectangular microstrip antenna having various substrate thicknesses are generally calculated using the standard expressions presented in literatures. But these equations suffer from errors when compared with the experimental values due to Quasi-TEM propagation in the microstrip structure and fringing field. A number of researchers used soft computing approach such as neural networks and genetic algorithm on those equations to minimize the error for better accuracy. Bacterial foraging, an evolutionary optimization technique conceived in recent times, has many advantages over genetic algorithm and is yet to be applied on the design of microstrip patch antenna. In this article, a novel technique is developed to apply bacterial foraging optimization technique in conjunction with the expressions developed to calculate accurately the resonant frequency of rectangular microstrip antenna of any dimension and of any substrate thickness. Further, bacterial foraging is applied to the cakulatation of the feed point of microstrip antenna. The technique developed in this article can be a generalized soft computing tool to calculate resonant frequency of rectangular microstrip antenna. Similarly, the idea of the article can be used for calculating the various parameters of microstrip antennas of different structure and geometry.
机译:通常使用文献中提出的标准表达式来计算具有各种基板厚度的矩形微带天线的谐振频率。但是,由于在微带结构和边缘场中的准TEM传播,这些方程与实验值相比存在误差。许多研究人员在这些方程式上使用了诸如神经网络和遗传算法之类的软计算方法,以使误差最小化,从而提高了准确性。细菌觅食是近代发展起来的一种进化优化技术,它具有优于遗传算法的许多优点,尚待应用于微带贴片天线的设计中。在本文中,开发了一种新颖的技术,可结合优化精确计算任何尺寸和任何基板厚度的矩形微带天线的谐振频率的表达式,应用细菌觅食优化技术。此外,细菌觅食被应用于微带天线馈电点的加算。本文开发的技术可以用作计算矩形微带天线谐振频率的通用软计算工具。同样,本文的思想可用于计算不同结构和几何形状的微带天线的各种参数。

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