ArticleSensors (Basel, Switzerland)2023
New Complementary Resonator for Permittivity- and Thickness-Based Dielectric Characterization.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Simulation Study on Dielectric Constant Sensing by Interference of Spoof Surface Plasmon Polaritons.Micromachines · 2026Article
- Unsupervised design and geometry optimization of high-sensitivity ring-resonator-based sensors.Scientific reports · 2025Article
- Multi-parameter simultaneous extraction with a novel microwave sensor based on coupled resonators.Scientific reports · 2024Article
- Metamaterial enhanced sensor for powder material classification.Scientific reports · 2024Article
- A Multilayered GaAs IPD Resonator with Five Airbridges for Sensor System Application.Micromachines · 2024Article
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Authors and funding
2 authors.
Funding
Abstract
The design of high-performance complementary meta-resonators for microwave sensors featuring high sensitivity and consistent evaluation of dielectric materials is challenging. This paper presents the design and implementation of a novel complementary resonator with high sensitivity for dielectric substrate characterization based on permittivity and thickness. A complementary crossed arrow resonator (CCAR) is proposed and integrated with a fifty-ohm microstrip transmission line. The CCAR's distinct geometry, which consists of crossed arrow-shaped components, allows for the implementation of a resonator with exceptional sensitivity to changes in permittivity and thickness of the material under test (MUT). The CCAR's geometrical parameters are optimized to resonate at 15 GHz. The CCAR sensor's working principle is explained using a lumped-element equivalent circuit. The optimized CCAR sensor is fabricated using an LPKF protolaser on a 0.762-mm thick dielectric substrate AD250C. The MUTs with dielectric permittivity ranging from 2.5 to 10.2 and thickness ranging from 0.5 mm to 1.9 mm are used to investigate the properties and calibrate the proposed CCAR sensor. A two-dimensional calibration surface is developed using an inverse regression modelling approach to ensure precise and reliable measurements. The proposed CCAR sensor is distinguished by its high sensitivity of 5.74%, low fabrication cost, and enhanced performance compared to state-of-the-art designs, making it a versatile instrument for dielectric characterization.
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