Planar Phase-Variation Microwave Sensors for Material Characterization

Planar phase-variation microwave sensors have attracted increasing interest in recent years since they combine the advantages of planar technology (including low cost, low profile, and sensor integration with the associated circuitry for post-processing and communication purposes, among others) and...

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Detalles Bibliográficos
Autores: Muñoz Enano, Jonathan|||0000-0003-1271-3801, Coromina, Jan|||0000-0002-3541-4663, Vélez, Paris|||0000-0001-6502-5987, Su, Lijuan|||0000-0002-4753-9340, Gil Barba, Marta|||0000-0002-1106-5059, Casacuberta, Pau|||0000-0002-2658-2200, Martín, Ferran|||0000-0002-1494-9167
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:237013
Acceso en línea:https://ddd.uab.cat/record/237013
https://dx.doi.org/urn:doi:10.3390/s21041542
Access Level:acceso abierto
Palabra clave:Microwave sensors
Stepped-impedance transmission lines
Slow-wave transmission lines
Meander lines
Dielectric constant sensor
Phase-variation sensors
Descripción
Sumario:Planar phase-variation microwave sensors have attracted increasing interest in recent years since they combine the advantages of planar technology (including low cost, low profile, and sensor integration with the associated circuitry for post-processing and communication purposes, among others) and the possibility of operation at a single frequency (thereby reducing the costs of the associated electronics). This paper reviews and compares three different strategies for sensitivity improvement in such phase-variation sensors (devoted to material characterization). The considered approaches include line elongation (through meandering), dispersion engineering (by considering slow-wave artificial transmission lines), and reflective-mode sensors based on step-impedance open-ended lines. It is shown that unprecedented sensitivities compatible with small sensing regions are achievable with the latter approach.