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

fYear

2014

fDate

24-27 March 2014

Firstpage

29

Lastpage

32

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/MicroRad.2014.6878902

Filename

6878902