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Scintillation prediction using improved pre-processed radiosounding data

dc.contributor.authorVanhoenacker-Janvier, D.
dc.contributor.authorOestges, C.
dc.contributor.authorMontenegro-Villacieros, B.
dc.contributor.authorVan Malderen, R.
dc.contributor.authorDe Backer, H.
dc.coverage.temporal21st century
dc.date2009
dc.date.accessioned2016-03-07T16:17:03Z
dc.date.accessioned2021-12-09T09:54:16Z
dc.date.available2016-03-07T16:17:03Z
dc.date.available2021-12-09T09:54:16Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/8867
dc.descriptionTropospheric scintillation has an impact on earth-space low availability and deep-space systems, but also on fade mitigation techniques that are developed for communications above 20 GHz. The classical prediction models [1] predict the cumulative distribution of scintillation variance using ground measured data, such as temperature and humidity. Scintillation being due to the presence of turbulence in the troposphere, it is realistic to expect that the accuracy of the prediction should be increased if height profiles of those parameters should be used. Abstract???
dc.languageeng
dc.publisherIRM
dc.publisherKMI
dc.publisherRMI
dc.relation.ispartofseries3rd European Conference on Antennas and Propagation (EUCAP), Berlin, Germany
dc.titleScintillation prediction using improved pre-processed radiosounding data
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceGeneral Public
dc.audienceScientific
dc.subject.freeTropospheric scintillation
dc.subject.freeearth-space low availability
dc.subject.freedeep-space systems
dc.subject.freeTemperature
dc.subject.freehumidity
dc.subject.freeturbulence
dc.subject.freetroposphere
dc.subject.freeprediction
dc.source.issue3rd European Conference on Antennas and Propagation (EUCAP), Berlin, Germany
dc.source.page1/2/2015
Orfeo.peerreviewedNot pertinent


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