Title :
Accurate geolocation of rfi sources in smos imagery based on superresolution algorithms
Author :
Hyuk Park ; Camps, A. ; Gonzalez-Gambau, V.
Author_Institution :
Remote Sensing Lab., Univ. Politec. de Catalunya (UPC), Barcelona, Spain
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.
Keywords :
geophysical techniques; radiofrequency interference; remote sensing; Direction-of-Arrival estimation techniques; MUSIC DOA estimation algorithm; MUSIC method; RFI source geolocation; SMOS RFI source detection; SMOS imagery; illegal emitter; protected L-band; superresolution algorithms; Direction-of-arrival estimation; Estimation; Geology; Image resolution; Microwave radiometry; Multiple signal classification; Remote sensing; Direction of Arrival (DOA) estimation; MUSIC algorithm; Radio Frequency Interferences (RFIs); Soil Moisture and Ocean Salinity (SMOS) mission; microwave radiometry; synthetic aperture radiometry;
Conference_Titel :
Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2014 13th Specialist Meeting on
Conference_Location :
Pasadena, CA
Print_ISBN :
978-1-4799-4645-7
DOI :
10.1109/MicroRad.2014.6878902
