Concurrent Gain and Bandwidth Improvement of a Patch Antenna with a Hybrid Particle Swarm Optimization Algorithm

Holden Clark, N. Jeong, Seongcheol Jeong
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引用次数: 3

Abstract

This paper demonstrates that antenna design and performance can be prominently improved by linking commerically available software with the Hybrid Particle Swarm (HPSO) optimization algorithm. To demostrate this technique, multiple parasitic elements were added to a conventional patch antenna and optimized for bandwidth and realized gain. HPSO is implimented with Python and a commercially available full-wave software, ANSYS High Frequency Structure Simulator (HFSS). The simulated and measured results show that antenna performance is substantiably improved in both bandwith and realized gain, with an increase of 10% in −10 dB bandwidth and approximately 15% in realized gain.
基于混合粒子群优化算法的贴片天线并发增益和带宽改进
通过将商用软件与混合粒子群(HPSO)优化算法相结合,可以显著改善天线设计和性能。为了演示该技术,在传统贴片天线中添加了多个寄生元件,并对带宽和实现增益进行了优化。HPSO是用Python和商用全波软件ANSYS高频结构模拟器(HFSS)实现的。仿真和实测结果表明,天线的性能在带宽和实现增益方面都得到了很大的改善,在−10 dB带宽范围内提高了10%,实现增益提高了约15%。
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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