Development of a dynamically re-configurable radio-frequency interference detection system for L-Band microwave radiometers

dc.contributor.authorPérez Portero, Adrián
dc.contributor.authorQuerol Borràs, Jorge
dc.contributor.authorMas-Vinolas, Andreu
dc.contributor.authorAmezaga, Adria
dc.contributor.authorJove-Casulleras, Roger
dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.groupUniversitat Politècnica de Catalunya. CommSensLab-UPC - Centre de Recerca en Comunicació i Detecció UPC
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2025-01-20T10:45:53Z
dc.date.available2025-01-20T10:45:53Z
dc.date.issued2024-06-21
dc.description.abstractReal-Time RFI Detection and Flagging (RT-RDF) for microwave radiometers is a versatile new FPGA algorithm designed to detect and flag Radio-Frequency Interference (RFI) in microwave radiometers. This block utilizes computationally-efficient techniques to identify and analyze RF signals, allowing the system to take appropriate measures to mitigate interference and maintain reliable performance. With L-Band microwave radiometry as the main application, this RFI detection algorithm focuses on the Kurtogram and Spectrogram to detect non-Gaussian behavior. To gain further modularity, an FFT-based filter bank is used to divide the receiver’s bandwidth into several sub-bands within the band of interest of the instrument, depending on the application. Multiple blanking strategies can then be applied in each band using the provided detection flags. The algorithm can be re-configured in the field, for example with dynamic integration times to support operation in different environments, or configurable thresholds to account for variable RFI environments. A validation and testing campaign has been performed on multiple scenarios with the ARIEL commercial microwave radiometer, and the results confirm the excellent performance of the system.
dc.description.peerreviewedPeer Reviewed
dc.description.sponsorshipThis research was funded by project GENESIS: GNSS Environmental and Societal Missions–Subproject UPC (PID2021-126436OB-C21) sponsored by MCIN/AEI/10.13039/501100011033/ and EU ERDF “A way to do Europe”, and Adrian Perez-Portero (FISDUR2020/105) was supported by a grant for recruitment of early-stage research staff of the Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR)—Generalitat de Catalunya, Spain.
dc.description.versionPostprint (published version)
dc.identifier.citationPerez, A. [et al.]. Development of a dynamically re-configurable radio-frequency interference detection system for L-Band microwave radiometers. "Sensors (Basel)", 21 Juny 2024, vol. 24, núm. 13, article 4030.
dc.identifier.doi10.3390/s24134034
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/2117/422143
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-126436OB-C21/ES/GNSS ENVIRONMENTAL AND SOCIETAL MISSIONS - SUBPROJECT UPC/
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/24/13/4034
dc.rights.accessOpen Access
dc.rights.licensenameAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.otherRFI
dc.subject.otherEarth observation
dc.subject.otherRadiometry
dc.subject.otherRemote sensing
dc.subject.otherFPGA
dc.titleDevelopment of a dynamically re-configurable radio-frequency interference detection system for L-Band microwave radiometers
dc.typeArticle
dspace.entity.typePublication
local.citation.authorPerez, A.; Querol, J.; Mas-Vinolas, A.; Amezaga, A.; Jove-Casulleras, R.; Camps, A.
local.citation.number13, article 4030
local.citation.publicationNameSensors (Basel)
local.citation.volume24
local.identifier.drac39365780

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