A Modified Vector Fitting Technique to Extract Coupling Matrix from S-parameters

IF 0.5 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Radioengineering Pub Date : 2023-09-01 DOI:10.13164/re.2023.0325
C. Ng, S. Soeung, S. Cheab, K. Y. Leong
{"title":"A Modified Vector Fitting Technique to Extract Coupling Matrix from S-parameters","authors":"C. Ng, S. Soeung, S. Cheab, K. Y. Leong","doi":"10.13164/re.2023.0325","DOIUrl":null,"url":null,"abstract":". In this paper, a modified vector fitting technique to extract coupling matrix from S-parameters is introduced. This work allows designers to extract the coupling matrix of different or any pre-defined topologies from the simulated or measured S-parameter data. A study on vector fitting (VF) equations that can extract the rational polynomial of bandpass filter responses is carried out. VF is a robust numerical method which is applied widely in rational approximations due to its fast convergence and able to apply for high order polynomials. The rational polynomials are formed by applying the VF process to S-parameter responses without having to remove the phase offset and de-embedding the transmission lines. Focus fitting as the first enhancement can avoid VF overfitting spurious as poles; Poles forcing as the second enhancement is able to ensure the poles of all S-parameters are the same. Finally, the desired coupling matrix configuration is generated directly from the extracted polynomials using unconstrained and finitely bounded non-linear polynomials (NLP) optimization. Without the need for matrix transformation, the matrix elements are still able to show a one-to-one relationship in coupling values of resonators. Two bandpass filters are shown as examples to illustrate the performance of the new variation of VF.","PeriodicalId":54514,"journal":{"name":"Radioengineering","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radioengineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.13164/re.2023.0325","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

. In this paper, a modified vector fitting technique to extract coupling matrix from S-parameters is introduced. This work allows designers to extract the coupling matrix of different or any pre-defined topologies from the simulated or measured S-parameter data. A study on vector fitting (VF) equations that can extract the rational polynomial of bandpass filter responses is carried out. VF is a robust numerical method which is applied widely in rational approximations due to its fast convergence and able to apply for high order polynomials. The rational polynomials are formed by applying the VF process to S-parameter responses without having to remove the phase offset and de-embedding the transmission lines. Focus fitting as the first enhancement can avoid VF overfitting spurious as poles; Poles forcing as the second enhancement is able to ensure the poles of all S-parameters are the same. Finally, the desired coupling matrix configuration is generated directly from the extracted polynomials using unconstrained and finitely bounded non-linear polynomials (NLP) optimization. Without the need for matrix transformation, the matrix elements are still able to show a one-to-one relationship in coupling values of resonators. Two bandpass filters are shown as examples to illustrate the performance of the new variation of VF.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
从S参数中提取耦合矩阵的改进矢量拟合技术
本文介绍了一种从S参数中提取耦合矩阵的改进向量拟合技术。这项工作允许设计者从模拟或测量的S参数数据中提取不同或任何预定义拓扑的耦合矩阵。对能够提取带通滤波器响应有理多项式的矢量拟合(VF)方程进行了研究。VF是一种稳健的数值方法,由于其快速收敛和适用于高阶多项式,在有理逼近中得到了广泛的应用。有理多项式是通过将VF过程应用于S参数响应而形成的,而不必去除相位偏移和去嵌入传输线。作为第一增强的焦点拟合可以避免VF过拟合杂散极点;极点强制作为第二种增强能够确保所有S参数的极点相同。最后,使用无约束和有限有界非线性多项式(NLP)优化,从提取的多项式直接生成期望的耦合矩阵配置。在不需要矩阵变换的情况下,矩阵元素仍然能够在谐振器的耦合值中显示出一对一的关系。以两个带通滤波器为例来说明VF的新变体的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Radioengineering
Radioengineering 工程技术-工程:电子与电气
CiteScore
2.00
自引率
9.10%
发文量
0
审稿时长
5.7 months
期刊介绍: Since 1992, the Radioengineering Journal has been publishing original scientific and engineering papers from the area of wireless communication and application of wireless technologies. The submitted papers are expected to deal with electromagnetics (antennas, propagation, microwaves), signals, circuits, optics and related fields. Each issue of the Radioengineering Journal is started by a feature article. Feature articles are organized by members of the Editorial Board to present the latest development in the selected areas of radio engineering. The Radioengineering Journal makes a maximum effort to publish submitted papers as quickly as possible. The first round of reviews should be completed within two months. Then, authors are expected to improve their manuscript within one month. If substantial changes are recommended and further reviews are requested by the reviewers, the publication time is prolonged.
期刊最新文献
Test Evaluation Method for Second-order Intermodulation False Alarm Interference Performance of the User in the TDD NOMA Cellular Networks Enabling FFR An Intelligent Denoising Method for Jamming Pattern Recognition under Noisy Conditions Reconstruction of Mixed Boundary Objects and Classification Using Deep Learning and Linear Sampling Method Coverless Steganography Based on Low Similarity Feature Selection in DCT Domain
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1