Accurate geolocation of rfi sources in smos imagery based on superresolution algorithms

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Part of book or chapter of book , Other ORP type , Other literature type 01 Mar 2014 Spain Publisher:IEEEJournal:2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)

Authors: Hyuk, Park; Camps Carmona, Adriano José; González Gambau, Veronica;

doi: 10.1109/microrad.2014.6878902

handle: 2117/24454 , 10261/115269

Accurate geolocation of rfi sources in smos imagery based on superresolution algorithms

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Abstract

Accurate geolocation of SMOS RFI sources is very important for effectively switching-off the illegal emitter in the protected L-band. We present a novel approach for the geolocation of SMOS RFI sources, based on the Direction of Arrival (DOA) estimation techniques normally used in the sensor array. The MUSIC DOA estimation algorithm is tailored for SMOS RFI source detection. In the test results, the proposed MUSIC method shows improved performance in terms of angular/spatial resolution.

Peer Reviewed

Country

Spain

Related Organizations

Spanish National Research Council
Spain
Universitat Polite`cnica de Catalunya
Spain
Institute of Marine Sciences
Spain
Universitat Politècnica de Catalunya
Spain

Keywords

MUSIC algorithm, Microwave radiometry, Soil Moisture and Ocean Salinity (SMOS) mission, :Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica, Synthetic aperture radiometry, Radiació -- Mesurament, Radiation--Measurement, Radiometria, Direction of Arrival (DOA) estimation, Radio Frequency Interferences (RFIs)

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