dc.contributor.author | Pérez Portero, Adrián |
dc.contributor.author | Querol Borràs, Jorge |
dc.contributor.author | Camps Carmona, Adriano José |
dc.contributor.author | Martín Neira, Manuel |
dc.contributor.author | Suess, Martin |
dc.contributor.author | Ramirez, Juan Ignacio |
dc.contributor.author | Zurita Campos, Alberto M. |
dc.contributor.author | Closa Soteras, Josep |
dc.contributor.author | Oliva, Roger |
dc.contributor.author | Onrubia Ibáñez, Raul |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2022-11-22T17:53:51Z |
dc.date.available | 2022-11-22T17:53:51Z |
dc.date.issued | 2022-09-01 |
dc.identifier.citation | Perez, A. [et al.]. RFI detection and mitigation for advanced correlators in interferometric radiometers. "Remote sensing", 1 Setembre 2022, vol. 14, núm. 4672, p. 1-22. |
dc.identifier.issn | 2072-4292 |
dc.identifier.uri | http://hdl.handle.net/2117/376937 |
dc.description.abstract | This work presents the first RFI detection and mitigation algorithm for the interferometric radiometers that will be implemented in its correlator unit. The algorithm operates in the time and frequency domains, applying polarimetric and statistical tests in both domains, and exhibiting a tunable and arbitrary low probability of false alarm. It is scalable to a configurable number of receivers, and it is optimized in terms of quantization bits and the implementation of the cross-correlations in the time or frequency domains for hardware resource saving. New features of this algorithm are the computation of the Stokes parameters per frequency bin in the Short-Time Fourier Transform and a new parameter called Polarimetric Kurtosis. If RFI is detected in one domain or in both, it is removed using the calculated blanking masks. The optimum algorithm parameters are computed, such as length of the FFTs, the threshold selection for a given probability of false alarm, and the selection of the blanking masks. Last, an important result refers to the application of Parseval’s theorem for the computation of the cross-correlations in the frequency domain, instead of in the time domain, which is more efficient and leads to smaller errors even when using moderate quantization levels. The algorithm has been developed in the framework of the ESA’s technology preparation for a potential L-band radiometer mission beyond SMOS. However, it is also applicable to (polarimetric) real aperture radiometers, and its performance would improve if more than one bit is used in the signal quantization. |
dc.description.sponsorship | This research was funded by ESA, grant number ITT AO9359, by project SPOT: Sensing with
Pioneering Opportunistic Techniques grant RTI2018-099008-B-C21/AEI/10.13039/501100011033, and
the grant for recruitment of early stage research staff of the Agència de Gestió d’Ajuts Universitaris i
de Recerca (AGAUR) Generalitat de Catalunya, Spain (FISDUR2020/105). |
dc.format.extent | 22 p. |
dc.language.iso | eng |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
dc.rights | Attribution 4.0 International |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Remote sensing |
dc.subject.other | Radio frequency interference |
dc.subject.other | Detection |
dc.subject.other | Mitigation |
dc.subject.other | Temporal |
dc.subject.other | Spectral |
dc.subject.other | Polarimetric |
dc.subject.other | Kurtosis |
dc.subject.other | Correlation |
dc.subject.other | Blanking |
dc.title | RFI detection and mitigation for advanced correlators in interferometric radiometers |
dc.type | Article |
dc.subject.lemac | Teledetecció |
dc.identifier.doi | 10.3390/rs14184672 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.mdpi.com/2072-4292/14/18/4672 |
dc.rights.access | Open Access |
local.identifier.drac | 34837911 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099008-B-C21/ES/SENSING WITH PIONEERING OPPORTUNISTIC TECHNIQUES/ |
local.citation.author | Perez, A.; Querol, J.; Camps, A.; Martín, M.; Suess, M.; Ramirez, J.; Zurita, A.; Closa, J.; Oliva, R.; Onrubia, R. |
local.citation.publicationName | Remote sensing |
local.citation.volume | 14 |
local.citation.number | 4672 |
local.citation.startingPage | 1 |
local.citation.endingPage | 22 |