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Geolocalizing SMOS RFI sources on the densely populated East Asia
Hyuk, Park; Camps Carmona, Adriano José; Gonzalez Gambau, Verónica
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
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.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Circuits de microones, radiofreqüència i ones mil·limètriques
Radio frequency
Soil moisture--Measurement
Radio-Frequency Interferences (RFI)
Synthetic aperture radiometry
Microwave radiometry
Direction of Arrival (DOA) estimation
Soil Moisture and Ocean Salinity (SMOS) mission
Sòls -- Humitat -- Mesurament

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