Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/16645
Authors: Pica, Emanuele* 
Minetto, Alex* 
Cesaroni, Claudio* 
Dovis, Fabio* 
Title: Analysis and Characterization of an Unclassified RFI Affecting Ionospheric Amplitude Scintillation Index Over the Mediterranean Area
Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 
Series/Report no.: /16 (2023)
Publisher: IEEE
Issue Date: 13-Apr-2023
DOI: 10.1109/JSTARS.2023.3267003
Keywords: Global Navigation Satellite System (GNSS)
Radio Frequency Interferences
Ionospheric Monitoring
Ionospheric Scintillation
Subject Classification01.02. Ionosphere 
05.04. Instrumentation and techniques of general interest 
Abstract: Radio frequency (RF) signals transmitted by Global Navigation Satellite Systems (GNSSs) are exploited as signals of opportunity in many scientific activities, ranging from sensing waterways and humidity of the terrain to the monitoring of the ionosphere. The latter can be pursued by processing the GNSS signals through dedicated ground-based monitoring equipment, such as the GNSS Ionospheric Scintillation and Total Electron Content Monitoring (GISTM) receivers. Nonetheless, GNSS signals are susceptible to intentional or unintentional RF interferences (RFIs), which may alter the calculation of the scintillation indices, thus compromising the quality of the scientific data and the reliability of the derived space weather monitoring products. Upon the observation of anomalous scintillation indices computed by a GISTM receiver in the Mediterranean area, the study presents the results of the analysis and characterization of a deliberate, unclassified interferer acting on the L1/E1 GNSS signal bands, observed and captured through an experimental, software-defined radio setup. This article also highlights the adverse impacts of the interferer on the amplitude scintillation indices employed in scientific investigations, and presents a methodology to discriminate among regular and corrupted scintillation data.
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