DocumentCode :
1410560
Title :
Analysis of Radio Frequency Interference Detection Algorithms in the Angular Domain for SMOS
Author :
Misra, Sidharth ; Ruf, Christopher S.
Author_Institution :
Jet Propulsion Lab., Pasadena, CA, USA
Volume :
50
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
1448
Lastpage :
1457
Abstract :
Radio frequency interference (RFI) detection techniques have different challenges and opportunities for interferometric radiometers such as the Microwave Imaging Radiometer using Aperture Synthesis on the Soil Moisture and Ocean Salinity (SMOS) mission. SMOS does not have highly oversampled temporal resolution or subband filters for oversampled spectral resolution, as do other radiometers with enhanced RFI detection capabilities. It does, however, have multisampled angular resolution in the sense that a single location is viewed from many different angles of incidence. This paper compares and contrasts RFI detection algorithms that use measurements made at a variety of different levels of SMOS signal processing, including the visibility domain, brightness temperature spatial domain, and brightness temperature angular domain. The angular domain detection algorithm, in particular, is developed and characterized in detail. Examples of the algorithms applied to cases with RFI (to assess detection skill) and without RFI (to assess false-alarm behavior) are considered.
Keywords :
geophysical signal processing; geophysical techniques; interferometry; radiofrequency interference; radiometry; remote sensing; RFI detection capability; SMOS angular domain; SMOS signal processing; aperture synthesis; brightness temperature angular domain; brightness temperature spatial domain; interferometric radiometer; microwave imaging radiometer; multisampled angular resolution; radiofrequency interference detection algorithm; subband filter; visibility domain; Detection algorithms; Extraterrestrial measurements; Geophysical measurements; Noise; Radiometers; Signal processing algorithms; Temperature measurement; Interferometry; Soil Moisture and Ocean Salinity (SMOS); microwave radiometry; radio frequency interference (RFI);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2011.2176949
Filename :
6117075
Link To Document :
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