DocumentCode :
2194107
Title :
RFI detection algorithm: Accurate geolocation of the interfering sources in SMOS images
Author :
Oliva, R. ; Nieto, S. ; Felix, F.
Author_Institution :
ESA-ESAC, Eur. Space Agency, Madrid, Spain
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3324
Lastpage :
3326
Abstract :
This paper presents the algorithm developed by the SMOS team to accurately detect the coordinates of the Radio Frequency Interferences (RFIs) sources observed by SMOS. This information is provided then to the national frequency management authorities, as part of a global strategy to improve the RFI situation in the SMOS data. The algorithm makes use of the large amount of observations from SMOS in order to increase the geo-location accuracy of the on-ground emitters despite SMOS moderate spatial resolution for this specific application. On top of that, some emissions detected from several interferences world-wide are so strong that the secondary side-lobe levels associated to the point-source type of signal are much larger than the expected natural radiation from Earth. In this conditions, the detection of the real location of the emitter becomes an important challenge. This problem is overcome with a set of data filters related to the specificities of SMOS reconstructed images. More than 150 RFIs have been switched off thanks to the information provided by this detection algorithm.
Keywords :
filtering theory; geophysical image processing; hydrological techniques; image reconstruction; moisture; ocean chemistry; oceanographic techniques; radiofrequency interference; radiometry; signal detection; soil; source separation; Earth natural radiation; MIRAS; RFI source detection algorithm; SMOS data; SMOS image; SMOS moderate spatial resolution; SMOS reconstructed image; Soil Moisture and Ocean Salinity mission; data filter; emission detection; interfering source geolocation; national frequency management authority; on-ground emitter; point-source type; radio frequency interference; Accuracy; Brightness temperature; Detection algorithms; Europe; Geology; Spatial resolution; Switches; RFI; SMOS; interferometer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350592
Filename :
6350592
Link To Document :
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