Dual-Band Stable Resonant Microwave Sensor for Dielectric Characterization

A microwave planar sensor working at two industrial, scientific and medical (ISM) frequency bands (i.e. 0.92 GHz and 2.45 GHz) is proposed. The sensor stability in terms of Q-factor parameter, is preserved designing the sensor when it works in direct contact to a reference material with known dielectric properties. The dual resonance behavior is achieved by exploiting a shorting pin loaded effect in a simple microstrip structure. The numerical analysis effectively confirms that the proposed designed procedure is able to provide a sensor with a stable resonant behavior (stable Q-factor) and the ability to discriminate different types of investigated materials.

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Publication Details

Published
2024-10-09
DOI
https://doi.org/10.1109/cama62287.2024.10986168
Primary Topic
Soil Moisture and Remote Sensing
Type
article
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article

Dual-Band Stable Resonant Microwave Sensor for Dielectric Characterization

Sandra Costanzo, Antonio Cuccaro, Raffaele Solimene
Soil Moisture and Remote Sensing
article

Dual-Band Stable Resonant Microwave Sensor for Dielectric Characterization

Sandra Costanzo, Antonio Cuccaro, Raffaele Solimene
article en

Abstract

A microwave planar sensor working at two industrial, scientific and medical (ISM) frequency bands (i.e. 0.92 GHz and 2.45 GHz) is proposed. The sensor stability in terms of Q-factor parameter, is preserved designing the sensor when it works in direct contact to a reference material with known dielectric properties. The dual resonance behavior is achieved by exploiting a shorting pin loaded effect in a simple microstrip structure. The numerical analysis effectively confirms that the proposed designed procedure is able to provide a sensor with a stable resonant behavior (stable Q-factor) and the ability to discriminate different types of investigated materials.

University of Campania "Luigi Vanvitelli" (IT), Engineering (Italy) (IT), University of Calabria (IT)
Affordable and clean energy
Openalex Percentile: Top 76%
Soil Moisture and Remote Sensing
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