Analysis and synthesis of L- and T-shaped flexible compact microstrip antennas using regression-based machine learning approaches

IF 0.8 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Frequenz Pub Date : 2022-11-16 DOI:10.1515/freq-2022-0070

M. Bicer

引用次数: 0

Abstract

Abstract The purpose of this study was to analyze and synthesize L-shaped compact microstrip antennas (LCMA) and T-shaped compact microstrip antennas using regression-based machine learning algorithms (TCMA). This was accomplished by simulating 3808 LCMAs and 900 TCMAs operating at UHF and SHF frequencies with different physical and electrical characteristics. The acquired data was utilized to create a data set containing the antennas’ physical and electrical characteristics, as well as their resonant frequencies in the TM010 mode. Four baseline regression models and seven machine learning models were developed to determine the resonance frequency of antennas and the values of the physical parameters required for a particular frequency. To examine the efficacy of machine learning models, three-dimensional LCMAs and TCMAs were created using polylactic acid (PLA) and felt-based flexible substrates, as well as copper tape. The results illustrate the feasibility of using machine learning models for LCMA and TCMA analysis and synthesis.

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基于回归的机器学习方法分析和综合L形和t形柔性紧凑型微带天线

摘要本研究的目的是使用基于回归的机器学习算法（TCMA）分析和综合L形紧凑型微带天线（LCMA）和T形紧凑型天线。这是通过模拟3808个LCMA和900个TCMA在具有不同物理和电气特性的UHF和SHF频率下运行来实现的。获取的数据用于创建一个数据集，其中包含天线的物理和电气特性，以及它们在TM010模式下的谐振频率。开发了四个基线回归模型和七个机器学习模型，以确定天线的谐振频率和特定频率所需的物理参数值。为了检验机器学习模型的有效性，使用聚乳酸（PLA）和毡基柔性基底以及铜带创建了三维LCMA和TCMA。结果说明了使用机器学习模型进行LCMA和TCMA分析和综合的可行性。

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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来源期刊

Frequenz 工程技术-工程：电子与电气

CiteScore

2.40

自引率

18.20%

发文量

审稿时长

3 months

期刊介绍： Frequenz is one of the leading scientific and technological journals covering all aspects of RF-, Microwave-, and THz-Engineering. It is a peer-reviewed, bi-monthly published journal. Frequenz was first published in 1947 with a circulation of 7000 copies, focusing on telecommunications. Today, the major objective of Frequenz is to highlight current research activities and development efforts in RF-, Microwave-, and THz-Engineering throughout a wide frequency spectrum ranging from radio via microwave up to THz frequencies. RF-, Microwave-, and THz-Engineering is a very active area of Research & Development as well as of Applications in a wide variety of fields. It has been the key to enabling technologies responsible for phenomenal growth of satellite broadcasting, wireless communications, satellite and terrestrial mobile communications and navigation, high-speed THz communication systems. It will open up new technologies in communications, radar, remote sensing and imaging, in identification and localization as well as in sensors, e.g. for wireless industrial process and environmental monitoring as well as for biomedical sensing.