Geolocalizing SMOS RFI sources on the densely populated East Asia

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/84226

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai
dc.contributor	Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.author	Hyuk, Park
dc.contributor.author	Camps Carmona, Adriano José
dc.contributor.author	Gonzalez Gambau, Verónica
dc.date	2015
dc.identifier.citation	Park, H., Camps, A., Gonzalez, V. Geolocalizing SMOS RFI sources on the densely populated East Asia. A: IEEE International Geoscience and Remote Sensing Symposium. "2015 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 26–31, 2015: Milan, Italy". Milan: 2015, p. 1453-1456.
dc.identifier.citation	978-1-4799-7929-5
dc.identifier.citation	10.1109/IGARSS.2015.7326052
dc.identifier.uri	http://hdl.handle.net/2117/84226
dc.language.iso	eng
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7326052
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Circuits de microones, radiofreqüència i ones mil·limètriques
dc.subject	Radio frequency
dc.subject	Radiometers
dc.subject	Soil moisture--Measurement
dc.subject	Radio-Frequency Interferences (RFI)
dc.subject	Synthetic aperture radiometry
dc.subject	Microwave radiometry
dc.subject	Beamforming
dc.subject	Direction of Arrival (DOA) estimation
dc.subject	Soil Moisture and Ocean Salinity (SMOS) mission
dc.subject	Radiofreqüència
dc.subject	Radiometria
dc.subject	Sòls -- Humitat -- Mesurament
dc.title	Geolocalizing SMOS RFI sources on the densely populated East Asia
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	In the SMOS measurements, the negative effect of RadioFrequency Interference (RFI) is clearly present, deteriorating the Brightness Temperature (BT) images. RFI sources have to be monitored and accurately geolocated in order to improve the quality of geophysical parameter retrieval from the SMOS BT image, and eventually develop algorithm to cancel them. This paper present a case study of SMOS RFI source detection and geolocation based on MUSIC (MUltiple SIgnal Classification) algorithm. Thanks to the high angular/spatial resolution of MUSIC algorithm, the RFI sources densely populated in East Asia can be separately geolocated, which is difficult using SMOS standard brightness temperature images.
dc.description.abstract	Peer Reviewed

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