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dc.contributor.authorCervelló Nogués, Oriol
dc.contributor.authorPascual Biosca, Daniel
dc.contributor.authorOnrubia Ibáñez, Raúl
dc.contributor.authorCamps Carmona, Adriano José
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.accessioned2020-09-22T17:27:49Z
dc.date.available2020-09-22T17:27:49Z
dc.date.issued2020-01-01
dc.identifier.citationCervelló, O. [et al.]. Advanced GNSS-R signals processing with GPUs. "IEEE journal of selected topics in applied earth observations and remote sensing", 1 Gener 2020, vol. 13, p. 1158-1163.
dc.identifier.issn1939-1404
dc.identifier.urihttp://hdl.handle.net/2117/329153
dc.description.abstractGlobal navigation satellite system reflectometry (GNSS-R) is a group of techniques that uses satellite navigation signals as signals of opportunity for remote sensing applications. In GNSS-R, large amounts of data are acquired and have to be processed. Computation time is typically the bottleneck for ground and airborne experiments. This article presents an efficient solution for off-line GNSS-R processing data taking advantage of graphics processing units (GPUs). After comparing to the typically used CPU languages, such as MATLAB and C++, the advantage of using parallel processing on the GPU is clear. GPU-based computation can reduce the processing time by as much as 95% of the acquisition time of the data. An implementation taking advantage of a home-use GPU is proposed for the data processing units. Thanks to its efficiency, even real-time processing experiments are feasible.
dc.description.sponsorshipThis work was supported in part bythe Spanish Ministry of Economy and Competitiveness and FEDER EU underthe project “AGORA: Técnicas Avanzadas en Teledetección Aplicada UsandoSeñales GNSS y Otras Señales de Oportunidad” (MINECO/FEDER) ESP2015-70014-C2-1-R by the Agencia Estatal de Investigación; in part by the SpanishMinistry of Science, Innovation, and Universities, “Sensing with Pioneering Opportunistic Techniques,” under Grant RTI2018-099008-B-C21; in part by the Collaboration under Grant 998142 by the Spanish Ministry of Education; inpart by Unidad de Excelencia María de Maeztu MDM-2016-0600; and in partby Prof. Camps ICREA Academia 2015 award of the Generalitat de Catalunya.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshRemote sensing
dc.subject.otherCompute unified device architecture (CUDA)
dc.subject.otherGlobal navigation satellite system reflectometry (GNSS-R)
dc.subject.otherGraphics processing unit (GPU) processing
dc.subject.otherParallel computing
dc.subject.otherReal-time processing
dc.titleAdvanced GNSS-R signals processing with GPUs
dc.typeArticle
dc.subject.lemacTeledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/JSTARS.2020.2975109
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9028131
dc.rights.accessOpen Access
local.identifier.drac28886611
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/ESP2015-70014-C2-1-R
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/RTI2018-099008-B-C21
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/MDM-2016-0600
local.citation.authorCervelló, O.; Pascual, D.; Onrubia, R.; Camps, A.
local.citation.publicationNameIEEE journal of selected topics in applied earth observations and remote sensing
local.citation.volume13
local.citation.startingPage1158
local.citation.endingPage1163


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