1. ZHAW digitalcollection
  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3501
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMichelucci, Umberto-
dc.contributor.authorVenturini, Francesca-
dc.date.accessioned2018-01-31T15:51:27Z-
dc.date.available2018-01-31T15:51:27Z-
dc.date.issued2017-
dc.identifier.issn1424-8220de_CH
dc.identifier.issn1424-8239de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/2384-
dc.description.abstractOne of the most common limits to gas sensor performance is the presence of unwanted interference fringes arising, for example, from multiple reflections between surfaces in the optical path. Additionally, since the amplitude and the frequency of these interferences depend on the distance and alignment of the optical elements, they are affected by temperature changes and mechanical disturbances, giving rise to a drift of the signal. In this work, we present a novel semi-parametric algorithm that allows the extraction of a signal, like the spectroscopic absorption line of a gas molecule, from a background containing arbitrary disturbances, without having to make any assumption on the functional form of these disturbances. The algorithm is applied first to simulated data and then to oxygen absorption measurements in the presence of strong fringes. To the best of the authors’ knowledge, the algorithm enables an unprecedented accuracy particularly if the fringes have a free spectral range and amplitude comparable to those of the signal to be detected. The described method presents the advantage of being based purely on post processing, and to be of extremely straightforward implementation if the functional form of the Fourier transform of the signal is known. Therefore, it has the potential to enable interference-immune absorption spectroscopy. Finally, its relevance goes beyond absorption spectroscopy for gas sensing, since it can be applied to any kind of spectroscopic data.de_CH
dc.language.isoende_CH
dc.publisherMDPIde_CH
dc.relation.ispartofSensorsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectSpectroscopy sensorde_CH
dc.subjectInterferencede_CH
dc.subjectDigital filteringde_CH
dc.subject.ddc530: Physikde_CH
dc.titleNovel semi-parametric algorithm for interference-immune tunable absorption spectroscopy gas sensingde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
dc.identifier.doi10.3390/s17102281de_CH
dc.identifier.doi10.21256/zhaw-3501-
zhaw.funding.euNode_CH
zhaw.issue10de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start2281de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume17de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedPhotonicsde_CH
zhaw.webfeedSensorikde_CH
Appears in collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
sensors-17-02281-v2.pdf642.5 kBAdobe PDFThumbnail
View/Open
Show simple item record
Michelucci, U., & Venturini, F. (2017). Novel semi-parametric algorithm for interference-immune tunable absorption spectroscopy gas sensing. Sensors, 17(10), 2281. https://doi.org/10.3390/s17102281
Michelucci, U. and Venturini, F. (2017) ‘Novel semi-parametric algorithm for interference-immune tunable absorption spectroscopy gas sensing’, Sensors, 17(10), p. 2281. Available at: https://doi.org/10.3390/s17102281.
U. Michelucci and F. Venturini, “Novel semi-parametric algorithm for interference-immune tunable absorption spectroscopy gas sensing,” Sensors, vol. 17, no. 10, p. 2281, 2017, doi: 10.3390/s17102281.
MICHELUCCI, Umberto und Francesca VENTURINI, 2017. Novel semi-parametric algorithm for interference-immune tunable absorption spectroscopy gas sensing. Sensors. 2017. Bd. 17, Nr. 10, S. 2281. DOI 10.3390/s17102281
Michelucci, Umberto, and Francesca Venturini. 2017. “Novel Semi-Parametric Algorithm for Interference-Immune Tunable Absorption Spectroscopy Gas Sensing.” Sensors 17 (10): 2281. https://doi.org/10.3390/s17102281.
Michelucci, Umberto, and Francesca Venturini. “Novel Semi-Parametric Algorithm for Interference-Immune Tunable Absorption Spectroscopy Gas Sensing.” Sensors, vol. 17, no. 10, 2017, p. 2281, https://doi.org/10.3390/s17102281.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.