Optimal positions of loading for a shortened resonant monopole using genetic algorithm

S. Zhao, C. Fumeaux, C. Coleman
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引用次数: 3

Abstract

The size reduction for resonant monopoles is an important issue for HF and VHF antennas. Unfortunately, size reduction results in degradation in both efficiency and bandwidth, as is well known from the fundamental limits on small antennas [1]. This paper firstly introduces a MATLAB-controlled NEC2 simulation tool with genetic algorithm optimization, and uses this to find the optimal position of inductors for a shortened monopole with L-section matching networks. Trade-offs between bandwidth and efficiency are investigated and demonstrated in a systematic fashion for a single inductor case. Various multi-inductor loading schemes are also investigated; including central symmetrically distributed and arbitrarily distributed two-inductor loading schemes. The ultimate goal of the research is to find an optimal distribution of inductors on a reduced-size resonant monopole.
用遗传算法求解短谐振单极子的最优加载位置
减小谐振单极子的尺寸是高频和甚高频天线的一个重要问题。不幸的是,尺寸减小会导致效率和带宽的下降,这一点从小型天线的基本限制中众所周知[1]。本文首先介绍了一种matlab控制的NEC2遗传算法优化仿真工具,并利用该工具找到了l截面匹配网络中缩短单极子的最优电感位置。在带宽和效率之间的权衡进行了调查,并以系统的方式展示了一个单一的电感情况。还研究了各种多电感加载方案;包括中心对称分布和任意分布的双电感负载方案。该研究的最终目标是在缩小尺寸的谐振单极子上找到电感的最佳分布。
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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