Characterization of Passive Circuit Element Using Resonant Circuit Technique for Wireless Communication Applications

This article discusses a method for non-contact measurement of passive components-resistors, inductors, and capacitors-under DC biasing conditions. It utilizes resonant circuits to selectively identify high-frequency components. By varying one component (inductance, capacitance, or resistance), the resonant frequency changes, which is derived from the relationship between coil characterization and the frequency of the generated sinusoidal wave. The measurement involves sending an input signal through one inductive coupling and receiving it through another. This technique allows for monitoring the maximum operating frequency, voltage, and passive element values, ensuring optimal energy and power transfer. Simulation results demonstrated an efficacy of over <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{9 2 \%}$</tex> for the compensation circuit, with a total harmonic distortion of only 0.20 %, making it suitable for inductive wireless transmission applications. To validate the technique, simulations were conducted at various power levels, confirming its effectiveness in achieving optimal energy and power transfer. The results align with traditional measurement methods, indicating reliability. This approach could have practical applications, such as in inductive pressure sensors, where changes in resonant frequency are useful.

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/icetas62372.2024.11119985
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of Passive Circuit Element Using Resonant Circuit Technique for Wireless Communication Applications

B. U. Musa, Burkan Hawash, Sheroz Khan, Abdulwahab Deji -
Sensor Technology and Measurement Systems
article

Characterization of Passive Circuit Element Using Resonant Circuit Technique for Wireless Communication Applications

B. U. Musa, Burkan Hawash, Sheroz Khan, Abdulwahab Deji -
article en

Abstract

This article discusses a method for non-contact measurement of passive components-resistors, inductors, and capacitors-under DC biasing conditions. It utilizes resonant circuits to selectively identify high-frequency components. By varying one component (inductance, capacitance, or resistance), the resonant frequency changes, which is derived from the relationship between coil characterization and the frequency of the generated sinusoidal wave. The measurement involves sending an input signal through one inductive coupling and receiving it through another. This technique allows for monitoring the maximum operating frequency, voltage, and passive element values, ensuring optimal energy and power transfer. Simulation results demonstrated an efficacy of over <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{9 2 \%}$</tex> for the compensation circuit, with a total harmonic distortion of only 0.20 %, making it suitable for inductive wireless transmission applications. To validate the technique, simulations were conducted at various power levels, confirming its effectiveness in achieving optimal energy and power transfer. The results align with traditional measurement methods, indicating reliability. This approach could have practical applications, such as in inductive pressure sensors, where changes in resonant frequency are useful.

Qassim University (SA), University of Lagos (NG), Telekom Malaysia Berhad (Malaysia) (MY), University of Benin Teaching Hospital (NG), University of Benin (NG), National University of Malaysia (MY)
Affordable and clean energy
Openalex Percentile: Top 63%
Sensor Technology and Measurement Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.