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首页> 外文期刊>International journal of antennas and propagation >Miniaturization of a Microstrip Patch Antenna with a Koch Fractal Contour Using a Social Spider Algorithm to Optimize Shorting Post Position and Inset Feeding
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Miniaturization of a Microstrip Patch Antenna with a Koch Fractal Contour Using a Social Spider Algorithm to Optimize Shorting Post Position and Inset Feeding

机译:使用社会蜘蛛算法的Koch分形轮廓微型化,用于优化短路柱位置和插入送料

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摘要

This paper presents a social spider optimization (SSO) design of a small-size microstrip antenna. Two antenna miniaturization techniques, based on the use of a Koch fractal contour and a shorting post (connecting the patch to the ground plane), are combined to enable a major size reduction. The antenna is inset fed by a microstrip line. The developed SSO algorithm is used to find out the best radius and position of the shorting post and the length of the inset feed, to achieve the desired resonant frequency with good impedance matching. Antenna prototypes have been fabricated and measured. The good agreement obtained between numerical simulation and experimental results has validated the design procedure. Compared with a conventional rectangular patch, the antenna resonance frequency is reduced from 2.45GHz to 730MHz, which corresponds to a remarkable miniaturization of about 70%. The proposed antenna is suitable for applications in the 700-800MHz frequency range, such as 4G mobile communication systems.
机译:本文介绍了一种小型微带天线的社交蜘蛛优化(SSO)设计。基于使用Koch分形轮廓和短路柱(将贴片连接到接地平面)的缩短柱(将贴片连接到接地平面)的两个天线小型化技术被组合以使得能够大小减小。天线是由微带线馈送的插图。发达的SSO算法用于找出短路柱的最佳半径和位置,以实现具有良好阻抗匹配的所需谐振频率。已经制造和测量了天线原型。数值模拟和实验结果之间获得的良好一致性验证了设计程序。与传统的矩形贴片相比,天线谐振频率从2.45GHz降至730MHz,这对应于约70%的显着小型化。所提出的天线适用于700-800MHz频率范围内的应用,例如4G移动通信系统。

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  • 来源
    《International journal of antennas and propagation》 |2019年第2期|6284830.1-6284830.10|共10页
  • 作者单位

    Univ Fed Rio Grande do Norte Dept Commun Engn Caixa Postal 1655 BR-59072970 Natal RN Brazil|Natl Inst Space Res Northeast Reg Ctr BR-59076740 Natal RN Brazil;

    Univ Fed Rio Grande do Norte Dept Commun Engn Caixa Postal 1655 BR-59072970 Natal RN Brazil;

    Univ Fed Rio Grande do Norte Dept Commun Engn Caixa Postal 1655 BR-59072970 Natal RN Brazil;

    Univ Fed Rio Grande do Norte Dept Commun Engn Caixa Postal 1655 BR-59072970 Natal RN Brazil;

    Univ Lisbon Inst Super Tecn Inst Telecomunicacoes Ave Rovisco Pais 1 P-1049001 Lisbon Portugal;

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