Equivalent Circuit Approximation to the Connector-Line Transition at High Frequencies using Two Microstrip Lines and Data Fitting

Authors

  • Duc Le Faculty of Medicine and Health Technology Tampere University, Tampere, Finland
  • Nikta Pournoori Faculty of Medicine and Health Technology Tampere University, Tampere, Finland
  • Lauri Sydänheimo Faculty of Medicine and Health Technology Tampere University, Tampere, Finland
  • Leena Ukkonen Faculty of Medicine and Health Technology Tampere University, Tampere, Finland
  • Toni Björninen Faculty of Information Technology and Communication Sciences Tampere University, Tampere, Finland https://orcid.org/0000-0001-9335-7196

DOI:

https://doi.org/10.13052/2021.aces.J.361205

Keywords:

Microstrip line, electrical transitions, equivalent circuit, data fitting, least-squares method, overdetermined system, ABCD parameters, SMA connector, textile electronics.

Abstract

This article presents a method of obtaining an equivalent lumped element circuit to model the electrical connector-line transitions in the ultra-high frequency (UHF) band. First, the scattering matrices of two microstrip transmission lines that are otherwise identical but have the physical lengths of dd and 2d2⁢d are measured. Next, the theoretical model of the lines cascaded with the connector-line transitions modeled as lumped element circuits is established. The selection of the line lengths to be dd and 2d2⁢d results in an over determined system of equations that links the circuit component values to the two-port network parameters of the cascaded system. Finally, the least-squares data fitting procedure yields the best-fit component values. The results show that in our tested scenario, 3-component reactive circuit models well the transitions. Compared with the previous methods, the proposed approach does not require knowledge of the dielectric properties of the substrate of the measured transmission lines. This property integrates the method with our previous work on estimating a microstrip line substrate’s relative permittivity and loss tangent. The obtained transition circuit model is also validated through the testing of two quarter-wave transformers. The lines and transformers are implemented on a textile substrate to highlight the method’s applicability to wearable textile-based electronics.

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Author Biographies

Duc Le, Faculty of Medicine and Health Technology Tampere University, Tampere, Finland

Duc Lereceived the B.Sc. degree in electrical engineering from HCMC University of Technology and Education, Ho Chi Minh City, Vietnam, in 2014 with excellent degree and the M.Sc. degree with distinction in Electrical Engineering from Tampere University of Technology (TAU), Tampere, Finland, in 2018.

Currently, Mr. Le pursues a Ph.D. degree with the Faculty of Medicine and Health Technology, Tampere University, Tampere. His research interests include wireless health technology, wearable antennas, electromagnetic modeling, RF circuits, RFID tags, and low-profile antennas. Mr. Le is a recipient of prestigious awards, including HPY Research Foundation of Elisa and the Nokia Foundation Scholarship.

Nikta Pournoori, Faculty of Medicine and Health Technology Tampere University, Tampere, Finland

Nikta Pournoori received the M.Sc. degree in electrical engineering specializing in RF-electronics from the Tampere University of Technology, Tampere, Finland, with distinction in 2018.

Currently, she pursues a Ph.D. degree with the Faculty of Medicine and Health Technology, Tampere University, Tampere. Her research interests include implantable antenna design and sensors for biomedical telemetry systems, RF energy harvesting systems, wireless power transfer, and RFID systems. She is a recipient of prestigious awards, including the Nokia Foundation Scholarship and the Finnish Foundation for Technology Promotion (TES).

Lauri Sydänheimo, Faculty of Medicine and Health Technology Tampere University, Tampere, Finland

Lauri Sydänheimoreceived the M.Sc. and Ph.D. degrees in electrical engineering from the Tampere University of Technology (TUT), Tampere, Finland. He is currently a Professor with the Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. He has authored more than 250 publications in radio-frequency identification tag and reader antenna design and wireless system performance improvement. His current research interests include wireless data communication and wireless identification and sensing.

Leena Ukkonen, Faculty of Medicine and Health Technology Tampere University, Tampere, Finland

Leena Ukkonenreceived the M.Sc. and Ph.D. degrees in electrical engineering from the Tampere University of Technology, Tampere, Finland, in 2003 and 2006, respectively. She is currently a Professor with the Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland, and is leading the Wireless Identification and Sensing Systems Research Group. She has authored more than 300 scientific publications in radio-frequency identification (RFID), antenna design, and biomedical and wearable sensors. Her current research interests include RFID antennas, RFID sensors, implantable biomedical systems, and wearable antennas.

Toni Björninen , Faculty of Information Technology and Communication Sciences Tampere University, Tampere, Finland

Toni Björninenreceived the M.Sc. and Ph.D. degrees in electrical engineering from Tampere University of Technology (TUT), Tampere, Finland, in 2009 and 2012, respectively.

He works as a University Lecturer at the Faculty of Information Technology and Communication Sciences, Tampere University (TAU), Tampere, Finland. During 2013–2016 he held the post of Academy of Finland Postdoctoral Researcher at TUT and, subsequently, the Academy of Finland Research Fellow post during 2016–2021 at TUT and TAU. He has been a Visiting Postdoctoral Scholar in Berkeley Wireless Research Center at UC Berkeley and Microwave and Antenna Institute in Electronic Engineering Department at Tsinghua University, Beijing, China. Dr. Björninen’s research focuses on microwave technology for wireless health, including implantable and wearable antennas, wireless power transfer, sensors, and RFID-inspired wireless solutions. He is an author of 185 peer-reviewed scientific articles and a Senior Member of the IEEE.

Dr. Björninen serves as an Associate Editor in Applied Computational Electromagnetics Society Journal. Previously, he has been a member of the editorial boards of IEEE Journal of Radio Frequency Identification (2017–2020), IET Electronics Letters (2016–2018) and International Journal of Antennas and Propagation (2014–2018).

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Published

2022-03-10

How to Cite

[1]
D. Le, N. . Pournoori, L. . Sydänheimo, L. . Ukkonen, and T. . Björninen, “Equivalent Circuit Approximation to the Connector-Line Transition at High Frequencies using Two Microstrip Lines and Data Fitting”, ACES Journal, vol. 36, no. 12, pp. 1541–1551, Mar. 2022.