Loading...
Loading...

Go to the content (press return)

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

Author
Park, H.; Camps, A.; González, V.
Type of activity
Presentation of work at congresses
Name of edition
13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment
Date of publication
2014
Presentation's date
2014-03
Book of congress proceedings
13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment: MicroRad 2014: proceedings: 24-27 March 2014: Pasadena, California, USA
First page
29
Last page
32
DOI
https://doi.org/10.1109/MicroRad.2014.6878902 Open in new window
Project funding
Productos y aplicaciones avanzados de S-MOS y futuras misiones.
Repository
http://hdl.handle.net/2117/24454 Open in new window
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.
Citation
Hyuk, P.; Camps, A.; Gonzalez, V. Accurate geolocation of rfi sources in smos imagery based on superresolution algorithms. A: Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment. "13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2014 - Proceedings". Pasadena: 2014, p. 29-32.
Keywords
Direction of Arrival (DOA) estimation, MUSIC algorithm, Microwave radiometry, Radio Frequency Interferences (RFIs), Soil Moisture and Ocean Salinity (SMOS) mission, Synthetic aperture radiometry
Group of research
RSLAB - Remote Sensing Lab

Participants