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A Practical Deconvolution Antenna Method to Retrieve Scattering Profile in Complex Random Media - A Vegetation Case Study at 28 GHz

2020-03Conference paper Open access
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datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorLeonor, Nuno
dc.contributor.authorFernandes, Telmo
dc.contributor.authorCaldeirinha, Rafael
dc.date.accessioned2025-10-08T12:14:04Z
dc.date.available2025-10-08T12:14:04Z
dc.date.issued2020-03
dc.descriptionArticle number - 9135855, Conference date - 15 March 2020 - 20 March 2020, Conference code - 161692
dc.descriptionEISBN - 978-88-31299-00-8
dc.description.abstractThis paper presents a method to improve the extraction the Radiative Energy Transfer (RET) theory input parameters for application in vegetation attenuation modeling. The input parameters for this model, which are extracted from specific measurement data, are normally influenced by the radiation pattern of the receiver antenna. A new method to improve the accuracy of the scattering function parameters obtained from measurements is presented. This method is based on the prior analysis of the antenna's radiation pattern distortion while measuring the scattering function, allowing the development of calibration curves, to correct the distorted propagation parameters. The proposed method was tested with measurements conducted inside an anechoic chamber, using real small indoor trees, mimicking a forest scenario using various different receiver antennas at 28 GHz, and the model accuracy improvement was assessed at various vegetation depths.eng
dc.description.sponsorshipThis work is part of the project RESCuE-TOOL (PCIF/SSI/0194/2017) and UID/EEA/500008/2019, both funded by the Portuguese Government, Portuguese Foundation for Science and Technology (FCT).
dc.identifier.citationN. Leonor, T. Fernandes and R. Caldeirinha, "A Practical Deconvolution Antenna Method to Retrieve Scattering Profile in Complex Random Media - A Vegetation Case Study at 28 GHz," 2020 14th European Conference on Antennas and Propagation (EuCAP), Copenhagen, Denmark, 2020, pp. 1-5, doi: https://doi.org/10.23919/EuCAP48036.2020.9135855.
dc.identifier.doi10.23919/eucap48036.2020.9135855
dc.identifier.isbn978-1-7281-3712-4
dc.identifier.isbn978-88-31299-00-8
dc.identifier.urihttp://hdl.handle.net/10400.8/14226
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relationRadio coverage for emergency communication systems to operate under critical wildfire environments - TOOL
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/9135855
dc.relation.ispartof2020 14th European Conference on Antennas and Propagation (EuCAP)
dc.rights.uriN/A
dc.subjectPropagation modeling
dc.subjectvegetation
dc.subjecttrunk layer
dc.subjectmillimeter waves
dc.titleA Practical Deconvolution Antenna Method to Retrieve Scattering Profile in Complex Random Media - A Vegetation Case Study at 28 GHzeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleRadio coverage for emergency communication systems to operate under critical wildfire environments - TOOL
oaire.awardURIhttp://hdl.handle.net/10400.8/14075
oaire.citation.conferenceDate2020-03
oaire.citation.conferencePlaceCopenhagen, Denmark
oaire.citation.title14th European Conference on Antennas and Propagation, EuCAP 2020
oaire.fundingStreamConcurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito da Prevenção e Combate a Incêndios Florestais - 2017
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLeonor
person.familyNameFernandes
person.familyNameCaldeirinha
person.givenNameNuno
person.givenNameTelmo
person.givenNameRafael
person.identifier.ciencia-id391F-E0B5-14B5
person.identifier.ciencia-id4D18-2B1E-0960
person.identifier.orcid0000-0002-5405-1503
person.identifier.orcid0000-0003-0882-7478
person.identifier.orcid0000-0003-0297-7870
person.identifier.ridB-7909-2018
person.identifier.ridF-1499-2015
person.identifier.scopus-author-id24779209500
person.identifier.scopus-author-id7801603527
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This paper presents a method to improve the extraction the Radiative Energy Transfer (RET) theory input parameters for application in vegetation attenuation modeling. The input parameters for this model, which are extracted from specific measurement data, are normally influenced by the radiation pattern of the receiver antenna. A new method to improve the accuracy of the scattering function parameters obtained from measurements is presented. This method is based on the prior analysis of the antenna's radiation pattern distortion while measuring the scattering function, allowing the development of calibration curves, to correct the distorted propagation parameters. The proposed method was tested with measurements conducted inside an anechoic chamber, using real small indoor trees, mimicking a forest scenario using various different receiver antennas at 28 GHz, and the model accuracy improvement was assessed at various vegetation depths.
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