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dc.contributor.authorRamos Pérez, Isaac
dc.contributor.authorBosch Lluís, Xavier
dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.authorGonzález Gambau, Veronica
dc.contributor.authorRodríguez Álvarez, Nereida
dc.contributor.authorValencia Domènech, Enric
dc.contributor.authorHyuk, Park
dc.contributor.authorVall-Llossera Ferran, Mercedes Magdalena
dc.contributor.authorForte Veliz, Giuseppe Francesco
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2012-12-19T19:04:02Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationRamos, I. [et al.]. Optimum intercalibration time in synthetic aperture interferometric radiometers: application to SMOS. "IEEE Geoscience and Remote Sensing Letters", 2012, vol. 9, núm. 4, p. 774-777.
dc.identifier.issn1545-598X
dc.identifier.urihttp://hdl.handle.net/2117/17165
dc.description.abstractInterpolation strategies for calibration of the Soil Moisture and Ocean Salinity (SMOS) mission of the European Space Agency are tested and compared. Calibration strategy (how and how often) is critical in achieving the required performance of any instrument, but it is even more important in very complex instruments such as the new family of synthetic aperture interferometric radiometers and, in particular, in the Microwave Imaging Radiometer by Aperture Synthesis instrument aboard the SMOS mission. On one hand, frequent calibration reduces the available observation time. On the other hand, the calibration requirements for soil moisture applications are more relaxed than those for ocean salinity, so the intercalibration time requirements are very different. Since SMOS drifts are stationary, half-orbit information is available to perform different interpolation strategies. In this letter, these approaches are tested to estimate the calibration parameters between consecutive calibrations. The average root-mean-square phase error is then used to find the optimum interpolation strategy and intercalibration time. On the other side, in real-time instruments, the “future” calibration data are not available at the time of taking the measurements, and predictors are required to estimate the evolution of the calibration parameters from past data only. For these systems, the extended Kalman filter can be used. The intercalibration time in a real-time instrument is evaluated, and the requirements and performances are compared to offline instruments.
dc.format.extent4 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
dc.subject.lcshOceanography
dc.subject.lcshRadiation--Measurement
dc.subject.otherCalibration
dc.subject.otherintercalibration time
dc.subject.otherinterferometric radiometers
dc.subject.otherSoil Moisture and Ocean Salinity (SMOS)
dc.titleOptimum intercalibration time in synthetic aperture interferometric radiometers: application to SMOS
dc.typeArticle
dc.subject.lemacOceanografia
dc.subject.lemacRadiació--Mesurament
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/LGRS.2011.2181483
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151025
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac10509874
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorRamos, I.; Bosch, X.; Camps, A.; González, V.; Rodriguez, N.; Valencia, E.; Hyuk, P.; Vall-llossera, M.; Giuseppe Forte
local.citation.publicationNameIEEE Geoscience and Remote Sensing Letters
local.citation.volume9
local.citation.number4
local.citation.startingPage774
local.citation.endingPage777


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