2014 44th European Microwave Conference 2014
DOI: 10.1109/eumc.2014.6986527
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Quasi-lumped coplanar transmission-line sensors for broadband liquid characterization

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Cited by 13 publications
(3 citation statements)
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“…The precise permittivity of materials was extracted from the measured transmission coefficient (S 21 ) obtained by artificial neural networks. In the past, a few methods were used consisting of iterative approaches, linear fitting algorithm, and matrix transformation algorithm, for forecasting the permittivity of unknown dielectric samples. However, these approaches suffer the problems of various convergence difficulties.…”
Section: Complex Permittivity Extraction Methodsmentioning
confidence: 99%
“…The precise permittivity of materials was extracted from the measured transmission coefficient (S 21 ) obtained by artificial neural networks. In the past, a few methods were used consisting of iterative approaches, linear fitting algorithm, and matrix transformation algorithm, for forecasting the permittivity of unknown dielectric samples. However, these approaches suffer the problems of various convergence difficulties.…”
Section: Complex Permittivity Extraction Methodsmentioning
confidence: 99%
“…Compared to the methods described above, the coplanar strip line is rarely discussed in literature for the use in electromagnetic material characterization and it is still a topic in current research. In [16], a coplanar sensor is used for measuring the permittivity of liquids and a possible accuracy enhancement by using corrugated coplanar structures is discussed. Other described setups are also designed for characterizing liquids [17] and/or require special sample containers [18].…”
Section: Introductionmentioning
confidence: 99%
“…ICROWAVE-MICROFLUDIC devices integrate microwave circuits with microfluidics for quantitative electrical measurement of fluids [1]- [5]. This emerging field has the potential to advance industrial applications of impedance spectroscopy, including point-of-care diagnostics and quality assurance for pharmaceutical and chemical manufacturers [4], [6].…”
Section: Introductionmentioning
confidence: 99%