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A deconvolution method to remove distortion caused by antenna radiation pattern from measurement

2010-03Conference paper Open access
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorCui, Huajian
dc.contributor.authorCaldeirinha, Rafael
dc.contributor.authorRichter, Juergen
dc.date.accessioned2025-11-12T16:25:02Z
dc.date.available2025-11-12T16:25:02Z
dc.date.issued2010-03
dc.descriptionArticle number - 5464685; Conference name - 2010 International Workshop on Antenna Technology: Small Antennas, Innovative Structures and Materials, iWAT2010; Conference date - 1 March 2010 - 3 March 2010; Conference code - 80671
dc.descriptionFonte: https://www.researchgate.net/publication/234101790_A_deconvolution_method_to_remove_distortion_caused_by_antenna_radiation_pattern_from_measurement
dc.description.abstractThe influence of vegetation on radiowave signals has become an important aspect of the design of wireless communication links. In recent years the theory of Radiative Energy Transfer has been adopted as a reliable tool to predict the radiowave propagation through and near vegetation. However one major factor influencing accuracy of the measurement is the radiation pattern of the receiver antenna. The measured pattern will be the convolution product of the antenna radiation pattern and the phase function of the vegetation medium. The measured pattern therefore needs to undergo a deconvolution process before enable to provide reliable information. This paper presents a deconvolution method developed using optimum compensation filtering to remove the distortion caused by the receiver antenna radiation pattern. A pre-filtering technique using auto/cross-correlation is utilised to improve the deconvolution results, as well as an error function is deployed to determine the optimal parameter in the iterative filter.eng
dc.identifier.citationH. Cui, R. Caldeirinha and J. Richter, "A deconvolution method to remove distortion caused by antenna radiation pattern from measurement," 2010 International Workshop on Antenna Technology (iWAT), Lisbon, Portugal, 2010, pp. 1-4, doi: https://doi.org/10.1109/IWAT.2010.5464685.
dc.identifier.doi10.1109/iwat.2010.5464685
dc.identifier.isbn978-1-4244-4883-8
dc.identifier.urihttp://hdl.handle.net/10400.8/14596
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/5464685/keywords#keywords
dc.relation.ispartof2010 International Workshop on Antenna Technology (iWAT)
dc.rights.uriN/A
dc.subjectAntennas
dc.subjectConvolution
dc.subjectEnergy transfer
dc.subjectInnovation
dc.subjectVegetation
dc.subjectWireless telecommunication systems
dc.titleA deconvolution method to remove distortion caused by antenna radiation pattern from measurementeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2010-03
oaire.citation.conferencePlaceLisbon, Portugal
oaire.citation.titleFinal Program and Book of Abstracts - iWAT 2010: 2010 International Workshop on Antenna Technology: Small Antennas, Innovative Structures and Materials
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCaldeirinha
person.givenNameRafael
person.identifier.ciencia-id4D18-2B1E-0960
person.identifier.orcid0000-0003-0297-7870
person.identifier.ridF-1499-2015
person.identifier.scopus-author-id7801603527
relation.isAuthorOfPublicationb04f8672-d7af-443e-9104-ae8698dcdc9d
relation.isAuthorOfPublication.latestForDiscoveryb04f8672-d7af-443e-9104-ae8698dcdc9d

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The influence of vegetation on radiowave signals has become an important aspect of the design of wireless communication links. In recent years the theory of Radiative Energy Transfer has been adopted as a reliable tool to predict the radiowave propagation through and near vegetation. However one major factor influencing accuracy of the measurement is the radiation pattern of the receiver antenna. The measured pattern will be the convolution product of the antenna radiation pattern and the phase function of the vegetation medium. The measured pattern therefore needs to undergo a deconvolution process before enable to provide reliable information. This paper presents a deconvolution method developed using optimum compensation filtering to remove the distortion caused by the receiver antenna radiation pattern. A pre-filtering technique using auto/cross-correlation is utilised to improve the deconvolution results, as well as an error function is deployed to determine the optimal parameter in the iterative filter.
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