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Remote Sens. 2017, 9(11), 1183; https://doi.org/10.3390/rs9111183

Identification of C-Band Radio Frequency Interferences from Sentinel-1 Data

1
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
2
ARESYS srl, Via Flumendosa 16, 20132 Milan, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Batuhan Osmanoglu, Timo Balz, Zhong Lu and Prasad S. Thenkabail
Received: 16 September 2017 / Revised: 10 November 2017 / Accepted: 15 November 2017 / Published: 17 November 2017
(This article belongs to the Special Issue Advances in SAR: Sensors, Methodologies, and Applications)
View Full-Text   |   Download PDF [6323 KB, uploaded 21 November 2017]   |  

Abstract

We propose the use of Sentinel-1 Synthetic Aperture Radar (SAR) to provide a continuous and global monitoring of Radio Frequency Interferences (RFI) in C-band. We take advantage of the first 8–10 echo measures at the beginning of each burst, a 50–70 MHz wide bandwidth and a ground beam coverage of ~25 km (azimuth) by 70 km (range). Such observations can be repeated with a frequency better than three days, by considering two satellites and both ascending and descending passes. These measures can be used to qualify the same Sentinel-1 (S1) dataset as well as to monitor the availability and the use of radio frequency spectrum for present and future spaceborne imagers and for policy makers. In the paper we investigate the feasibility and the limits of this approach, and we provide a first Radio Frequency Interference (RFI) map with continental coverage over Europe. View Full-Text
Keywords: SAR; Radio Frequency Interferences; Synthetic Aperture Radar; Geosynchronous SAR SAR; Radio Frequency Interferences; Synthetic Aperture Radar; Geosynchronous SAR
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Monti-Guarnieri, A.; Giudici, D.; Recchia, A. Identification of C-Band Radio Frequency Interferences from Sentinel-1 Data. Remote Sens. 2017, 9, 1183.

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