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dc.date.accessioned2022-09-11T15:04:40Z
dc.date.available2022-09-11T15:04:40Z
dc.date.created2022-08-29T13:03:22Z
dc.date.issued2022
dc.identifier.citationEide, Sigurd Casademont, Titus Aardal, Øyvind Lund Hamran, Svein-Erik . Modeling FMCW Radar for Subsurface Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022, 15, 2998-3007
dc.identifier.urihttp://hdl.handle.net/10852/96555
dc.description.abstractDetermining subsurface properties through ground penetrating radar sounding can be challenging, especially in planetary exploration, where little is known about the terrain and additional observations are limited. Analysis and interpretation of data acquired with the Radar Imager for Mars’ Subsurface Experiment (RIMFAX) could therefore be improved by in-detail comparison with forward modeling. RIMFAX transmits a frequency modulated continuous waveform and utilizes a stretch processing receiver, and we demonstrate how accurate modeling can be achieved through finite-difference time-domain simulations. As the simulation scheme do not allow for direct implementation of such radar system, this study presents the necessary steps in order to replicate the same transmitter and receiver characteristics. In particular, we investigate how the method holds for modeling sounding in a realistic subsurface medium with attenuating and dispersive properties, by comparing the results with analytical estimates. The modeling approach is also assessed through comparison with RIMFAX field test measurements.
dc.languageEN
dc.publisherIEEE Geoscience and Remote Sensing Society
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleModeling FMCW Radar for Subsurface Analysis
dc.title.alternativeENEngelskEnglishModeling FMCW Radar for Subsurface Analysis
dc.typeJournal article
dc.creator.authorEide, Sigurd
dc.creator.authorCasademont, Titus
dc.creator.authorAardal, Øyvind Lund
dc.creator.authorHamran, Svein-Erik
cristin.unitcode185,15,30,30
cristin.unitnameAutonomi og sensorteknologier
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2046714
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing&rft.volume=15&rft.spage=2998&rft.date=2022
dc.identifier.jtitleIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
dc.identifier.volume15
dc.identifier.startpage2998
dc.identifier.endpage3007
dc.identifier.doihttps://doi.org/10.1109/JSTARS.2022.3165135
dc.identifier.urnURN:NBN:no-99055
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1939-1404
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/96555/1/2046714.pdf
dc.type.versionPublishedVersion


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