Publication:
Analog lock-in amplifier design using subsampling for accuracy enhancement in GMI sensor applications

dc.contributor.authorAlgueta-Miguel, Jose M.
dc.contributor.authorBeato López, Juan Jesús
dc.contributor.authorLópez Martín, Antonio
dc.contributor.departmentCienciases_ES
dc.contributor.departmentZientziakeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentInstitute for Advanced Materials and Mathematics - INAMAT2en
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, PJUPNA2005es
dc.date.accessioned2023-02-15T11:52:32Z
dc.date.available2023-02-15T11:52:32Z
dc.date.issued2023
dc.date.updated2023-02-15T11:44:56Z
dc.description.abstractA frequency downscaling technique for enhancing the accuracy of analog lock-in amplifier (LIA) architectures in giant magneto-impedance (GMI) sensor applications is presented in this paper. As a proof of concept, the proposed method is applied to two different LIA topologies using, respectively, analog and switching-based multiplication for phase-sensitive detection. Specifically, the operation frequency of both the input and the reference signals of the phase-sensitive detector (PSD) block of the LIA is reduced through a subsampling process using sample-and-hold (SH) circuits. A frequency downscaling from 200 kHz, which is the optimal operating frequency of the employed GMI sensor, to 1 kHz has been performed. In this way, the proposed technique exploits the inherent advantages of analog signal multiplication at low frequencies, while the principle of operation of the PSD remains unaltered. The circuits were assembled using discrete components, and the frequency downscaling proposal was experimentally validated by comparing the measurement accuracy with the equivalent conventional circuits. The experimental results revealed that the error in the signal magnitude measurements was reduced by a factor of 8 in the case of the analog multipliers and by a factor of 21 when a PSD based on switched multipliers was used. The error in-phase detection using a two-phase LIA was also reduced by more than 25%.en
dc.description.sponsorshipThis work has been supported by Grant PID2019-107258RB-C32 funded by the Spanish Ministerio de Ciencia e Innovación (MCIN/AEI/10.13039/501100011033), and by the project PJUPNA2005 funded by the Public University of Navarre.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationAlgueta-Miguel, J. M., Beato-López, J. J., López-Martín, A. J. (2023) Analog lock-in amplifier design using subsampling for accuracy enhancement in GMI sensor applications. Sensors, 23(1), 1-16. https://doi.org/10.3390/s23010057.en
dc.identifier.doi10.3390/s23010057
dc.identifier.issn1424-8220
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/44704
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofSensors 2023, 23, 57en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32/ES/en
dc.relation.publisherversionhttps://doi.org/10.3390/s23010057
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectLock-in amplifieren
dc.subjectPhase-sensitive detectoren
dc.subjectGMI sensoren
dc.subjectSubsamplingen
dc.subjectSample-and-holden
dc.titleAnalog lock-in amplifier design using subsampling for accuracy enhancement in GMI sensor applicationsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dspace.entity.typePublication
relation.isAuthorOfPublicationd92eec50-9862-440c-9f46-3ad22e06ba95
relation.isAuthorOfPublication2b9d0359-605c-4baf-ab4f-fac162ac85dc
relation.isAuthorOfPublicationd3dc0470-6429-43e7-80f2-15fae67f4204
relation.isAuthorOfPublication.latestForDiscoveryd92eec50-9862-440c-9f46-3ad22e06ba95

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