Algorithms 2011, 4(3), 155-182; doi:10.3390/a4030155
Article

Radio-Frequency Interference Detection and Mitigation Algorithms for Synthetic Aperture Radiometers

Adriano Camps 1,2,* email, Jerome Gourrion 3 email, Jose Miguel Tarongi 1,2 email, Mercedes Vall Llossera 1,2 email, Antonio Gutierrez 4 email, Jose Barbosa 4 email and Rita Castro 4 email
1 Remote Sensing Lab, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, E-08034 Barcelona, Spain 2 Institut d’Estudis Espacials de Catalunya, IEEC CRAE/UPC, E-08034 Barcelona, Spain 3 SMOS Barcelona Expert Center, Institut de Ciencies del Mar, CMIMA–CSIC, Department of Physical Oceanography, Passeig Maritim, 37-49, E-08003 Barcelona, Spain 4 DEIMOS ENGENHARIA, Av. D. Joao II, Lote 1.17, Torre Zen, 10°, 1998-023 Lisboa, Portugal
* Author to whom correspondence should be addressed.
Received: 20 April 2011; in revised form: 15 July 2011 / Accepted: 11 August 2011 / Published: 30 August 2011
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Abstract: The European Space Agency (ESA) successfully launched the Soil Moisture and Ocean Salinity (SMOS) mission in November 2, 2009. SMOS uses a new type of instrument, a synthetic aperture radiometer named MIRAS that provides full-polarimetric multi-angular L-band brightness temperatures, from which regular and global maps of Sea Surface Salinity (SSS) and Soil Moisture (SM) are generated. Although SMOS operates in a restricted band (1400–1427 MHz), radio-frequency interference (RFI) appears in SMOS imagery in many areas of the world, and it is an important issue to be addressed for quality SSS and SM retrievals. The impact on SMOS imagery of a sinusoidal RFI source is reviewed, and the problem is illustrated with actual RFI encountered by SMOS. Two RFI detection and mitigation algorithms are developed (dual-polarization and full-polarimetric modes), the performance of the second one has been quantitatively evaluated in terms of probability of detection and false alarm (using a synthetic test scene), and results presented using real dual-polarization and full-polarimetric SMOS imagery. Finally, a statistical analysis of more than 13,000 L1b snap-shots is presented and discussed.
Keywords: synthetic aperture radiometer; radio-frequency interference; L-band; detection; mitigation; algorithm

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MDPI and ACS Style

Camps, A.; Gourrion, J.; Tarongi, J.M.; Vall Llossera, M.; Gutierrez, A.; Barbosa, J.; Castro, R. Radio-Frequency Interference Detection and Mitigation Algorithms for Synthetic Aperture Radiometers. Algorithms 2011, 4, 155-182.

AMA Style

Camps A, Gourrion J, Tarongi JM, Vall Llossera M, Gutierrez A, Barbosa J, Castro R. Radio-Frequency Interference Detection and Mitigation Algorithms for Synthetic Aperture Radiometers. Algorithms. 2011; 4(3):155-182.

Chicago/Turabian Style

Camps, Adriano; Gourrion, Jerome; Tarongi, Jose Miguel; Vall Llossera, Mercedes; Gutierrez, Antonio; Barbosa, Jose; Castro, Rita. 2011. "Radio-Frequency Interference Detection and Mitigation Algorithms for Synthetic Aperture Radiometers." Algorithms 4, no. 3: 155-182.

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