Skip to main navigation Skip to search Skip to main content

Computation of the Characteristic Parameters of Coaxial Waveguides Used in Precision Sensors

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

This paper presents a fast and computationally stable analytical algorithm used to perform the characteristic impedance of cylindrical multilayer waveguides used in high-precision sensors and apparatuses. Most of the algorithms used for the calculation of the characteristic impedance of those waveguides are based on approximations. Their application is limited to waveguides with a certain (usually small) number of layers. There may be insufficient layers, especially when coaxial waveguides are part of a precise measurement device. This article presents a numerically stable analytical algorithm using modified scaled Bessel functions to perform the characteristic impedance and the components of cylindrical coaxial multilayer waveguides. The results achieved by the extracted algorithm were compared to the results obtained by simulation using finite element method (FEM) software and the current method, whose main drawback is the fictive sublayers, which significantly increase the computation time. The excellent agreement between the results confirmed the precision of the algorithm and the time required for the calculation was reduced several times.

Original languageEnglish
Article number2324
JournalSensors
Volume23
Issue number4
DOIs
Publication statusPublished - Feb 2023

Keywords

  • characteristic impedance
  • coaxial waveguides
  • modified scaled Bessel functions
  • numerical stability
  • thermal voltage converters

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Computation of the Characteristic Parameters of Coaxial Waveguides Used in Precision Sensors'. Together they form a unique fingerprint.

Cite this