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dc.contributor.authorRodriguez Alvarez, N.
dc.contributor.authorAkos, D.M.
dc.contributor.authorZavorotny, Valery U.
dc.contributor.authorSmith, Jeffrey
dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.authorFairall, C.W.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2013-07-11T15:08:11Z
dc.date.created2013-01
dc.date.issued2013-01
dc.identifier.citationRodriguez, N. [et al.]. Airborne GNSS-R wind retrievals using delay-doppler maps. "IEEE transactions on geoscience and remote sensing", Gener 2013, vol. 51, núm. 1, p. 626-641.
dc.identifier.issn0196-2892
dc.identifier.urihttp://hdl.handle.net/2117/19933
dc.description.abstractGlobal navigation satellite system (GNSS) reflectometry has emerged recently as a promising remote sensing tool to retrieve various geophysical parameters of the Earth's surface. GNSS-reflected signals, after being received and processed by the airborne or spaceborne receiver, are available as delay correlation waveforms or as delay-Doppler maps (DDMs). In the case of a rough ocean surface, those characteristics can be related to the rms of the L-band limited slopes of the surface waves and, from there, to the surface wind speed. The raw GNSS-reflected signal can be either processed in real time by the receiver or recorded and stored on board and postprocessed in a laboratory. The latter approach leveraging a software receiver allows more flexibility while processing the raw data. This work analyzes DDMs obtained as a result of processing of the data collected by the Global Positioning System (GPS) data logger/software receiver on board the National Oceanic and Atmospheric Administration Gulfstream-IV jet aircraft. Thereafter, the DDMs were used to retrieve surface wind speed employing several different metrics that characterize the DDM extent in the Doppler frequency-delay domain. In contrast to previous works in which winds have been retrieved by fitting the theoretically modeled curves into measured correlation waveforms, here, we do not rely on any model for the determination. Instead, the approach is based on a linear regression between DDM observables and the wind speeds obtained in simultaneous GPS dropsonde measurements.
dc.format.extent16 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radionavegació
dc.subject.lcshRemote sensing
dc.subject.lcshGlobal Positioning System
dc.subject.otherBistatic radar
dc.subject.otherdelay-Doppler mapping
dc.subject.otherglobal navigation satellite systems (GNSSs)
dc.subject.otherGlobal Positioning System (GPS)
dc.subject.otherocean surface
dc.subject.otheroceanography
dc.subject.otherreflected GPS
dc.subject.otherscatterometry
dc.titleAirborne GNSS-R wind retrievals using delay-doppler maps
dc.typeArticle
dc.subject.lemacTeledetecció
dc.subject.lemacSistema de posicionament global
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/TGRS.2012.2196437
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6208860
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac11251331
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorRodriguez, N.; Akos, D.; Zavorotny, V.U.; Smith, J.; Camps, A.; Fairall, C.
local.citation.publicationNameIEEE transactions on geoscience and remote sensing
local.citation.volume51
local.citation.number1
local.citation.startingPage626
local.citation.endingPage641


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