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Onboard processing of synthetic aperture radar backprojection algorithm in FPGA

2022-04-25Journal article Open access
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dc.contributor.authorMota, David
dc.contributor.authorCruz, Helena
dc.contributor.authorMiranda, Pedro R.
dc.contributor.authorDuarte, Rui Policarpo
dc.contributor.authorDe Sousa, Jose
dc.contributor.authorCláudio de Campos Neto, Horácio
dc.contributor.authorVéstias, Mário
dc.date.accessioned2023-05-17T14:46:08Z
dc.date.available2023-05-17T14:46:08Z
dc.date.issued2022-04-25
dc.description.abstractSynthetic aperture radar is a microwave technique to extracting image information of the target. Electromagnetic waves that are reflected from the target are acquired by the aircraft or satellite receivers and sent to a ground station to be processed by applying computational demanding algorithms. Radar data streams are acquired by an aircraft or satellite and sent to a ground station to be processed in order to extract images from the data since these processing algorithms are computationally demanding. However, novel applications require real-time processing for real-time analysis and decisions and so onboard processing is necessary. Running computationally demanding algorithms on onboard embedded systems with limited energy and computational capacity is a challenge. This article proposes a configurable hardware core for the execution of the backprojection algorithm with high performance and energy efficiency. The original backprojection algorithm is restructured to expose computational parallelism and then optimized by replacing floating-point with fixed-point arithmetic. The backprojection core was integrated into a system-onchip architecture and implemented in a field-programmable gate array. The proposed solution runs the optimized backprojection algorithm over images of sizes 512 x 512 and 1024 x 1024 in 0.14 s (0.41 J) and 1.11 s (3.24 J), respectively. The architecture is 2.6x faster and consumes 13x less energy than an embedded Jetson TX2 GPU. The solution is scalable and, therefore, a tradeoff exists between performance and utilization of resources.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMOTA, David; [et al] – Onboard processing of synthetic aperture radar backprojection algorithm in FPGA. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing. ISSN 1939-1404. Vol. 15 (2022), pp. 3600-3611.pt_PT
dc.identifier.doi10.1109/JSTARS.2022.3169828pt_PT
dc.identifier.eissn2151-1535
dc.identifier.issn1939-1404
dc.identifier.urihttp://hdl.handle.net/10400.21/16064
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.relationSynthetic Aperture Radar Robust Reconfigurable Optimized Computing Architecture
dc.relationSynthetic Aperture Radar Robust Reconfigurable Optimized Computing Architecture
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9762545pt_PT
dc.subjectField-programmable gate arrays (FPGA)pt_PT
dc.subjectOnboard processingpt_PT
dc.subjectReal-timept_PT
dc.subjectSynthetic aperture radar (SAR)pt_PT
dc.titleOnboard processing of synthetic aperture radar backprojection algorithm in FPGApt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardTitleSynthetic Aperture Radar Robust Reconfigurable Optimized Computing Architecture
oaire.awardTitleSynthetic Aperture Radar Robust Reconfigurable Optimized Computing Architecture
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F144133%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEI-HAC%2F31819%2F2017/PT
oaire.citation.endPage3611pt_PT
oaire.citation.startPage3600pt_PT
oaire.citation.titleIEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensingpt_PT
oaire.citation.volume15pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
oaire.fundingStream3599-PPCDT
person.familyNameSabala Ruivo da Cruz
person.familyNameDuarte
person.familyNamede Sousa
person.familyNameCláudio de Campos Neto
person.familyNameVéstias
person.givenNameHelena Alexandra
person.givenNameRui
person.givenNameJose
person.givenNameHorácio
person.givenNameMário
person.identifier.ciencia-idA618-BAE0-A736
person.identifier.ciencia-idB91E-770F-19A3
person.identifier.ciencia-idBE18-E262-E0EC
person.identifier.ciencia-id9915-3BDF-5C35
person.identifier.ciencia-id4717-C2C7-3F2C
person.identifier.orcid0000-0003-2709-867X
person.identifier.orcid0000-0002-7060-4745
person.identifier.orcid0000-0001-7525-7546
person.identifier.orcid0000-0002-3621-8322
person.identifier.orcid0000-0001-8556-4507
person.identifier.ridI-4402-2015
person.identifier.ridL-6859-2015
person.identifier.ridH-9953-2012
person.identifier.scopus-author-id24823991600
person.identifier.scopus-author-id7102813024
person.identifier.scopus-author-id14525867300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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