Analysis of RFI identification and mitigation in CAROLS radiometer data using a hardware spectrum analyser.

Pascal Fanise,Mickaël Pardé,Mehrez Zribi,Christophe Caudoux,Monique Dechambre

doi:10.3390/s110303037

Abstract

A method to identify and mitigate radio frequency interference (RFI) in microwave radiometry based on the use of a spectrum analyzer has been developed. This method has been tested with CAROLS L-band airborne radiometer data that are strongly corrupted by RFI. RFI is a major limiting factor in passive microwave remote sensing interpretation. Although the 1.400–1.427 GHz bandwidth is protected, RFI sources close to these frequencies are still capable of corrupting radiometric measurements. In order to reduce the detrimental effects of RFI on brightness temperature measurements, a new spectrum analyzer has been added to the CAROLS radiometer system. A post processing algorithm is proposed, based on selective filters within the useful bandwidth divided into sub-bands. Two discriminant analyses based on the computation of kurtosis and Euclidian distances have been compared evaluated and validated in order to accurately separate the RF interference from natural signals.

Highlights

IntroductionSeveral studies have revealed the highly detrimental influence of radio frequency interference (RFI) on microwave observations of the Earth, especially in the case of spatial
In recent years, several studies have revealed the highly detrimental influence of radio frequency interference (RFI) on microwave observations of the Earth, especially in the case of spatialSensors 2011, 11 radiometry [1]
Additional information is provided by the quantity of data remaining, after elimination of the samples found to be RFI; a further clue is given by the mean of the final Tb value, which should be as low as possible

Summary

Introduction

Several studies have revealed the highly detrimental influence of radio frequency interference (RFI) on microwave observations of the Earth, especially in the case of spatial. Sensors 2011, 11 radiometry [1] This kind of perturbation corrupts the recorded signals, deteriorating the data quality to variable degrees which, in some cases, render it unusable. The presence of strong RFI is noticeable over continental surfaces, but has been observed by the recently launched. The SMOS radiometer has been designed to measure the surface soil moisture, with a specified radiometric error of less than 2 K, depending on the nature of the target and its position in the instrument field of view.

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