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11th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2010, Washington : États-Unis (2010)
Analysis of RFI identification and mitigation in CAROLS radiometer data using a hardware spectral analyser
Pascal Fanise 1, 2, Mehrez Zribi 1, 2, 3, Mickaël Pardé 1, 2, Monique Dechambre 1, 2
(2010)

A method based on the use of a spectral analyzer has been developed in order to identify and mitigate radio frequency interference (RFI) in microwave radiometry. This method has been tested with L-band CAROLS airborne data highly corrupted by interferences. RFI is a major limiting factor in passive microwave remote sensing. Although the 1.4-1.427 GHz bandwidth is protected, RFI sources close to these frequencies may still corrupt radiometer measurements. In order to reduce RFI bad effects on the brightness temperature measurements, a new instrument called spectral analyzer has been added to the CAROLS radiometer system. A post processing algorithm based on a selective filtering with the division of bandwidth in subbands is proposed. Two discriminant analysis based on the computation of kurtosis and Mahalanobis distance have been compared, evaluated and validated in order to separate accurately the RF interference with natural signal.
1:  Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)
CNRS : UMR8190 – Université Pierre et Marie Curie [UPMC] - Paris VI – Université de Versailles Saint-Quentin-en-Yvelines – INSU
2:  Institut Pierre-Simon-Laplace (IPSL)
CNRS : FR636 – Institut de recherche pour le développement [IRD] – CEA – CNES – INSU – Université Pierre et Marie Curie [UPMC] - Paris VI – Université de Versailles Saint-Quentin-en-Yvelines – Ecole normale supérieure de Paris - ENS Paris
3:  Centre d'études spatiales de la biosphère (CESBIO)
CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III
Sciences of the Universe/Continental interfaces, environment

Environmental Sciences/Global Changes

Engineering Sciences/Signal and Image processing

Computer Science/Signal and Image Processing