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dc.contributor.authorEide, Sigurden_GB
dc.contributor.authorCasademont, Titusen_GB
dc.contributor.authorAardal, Øyvind Lunden_GB
dc.contributor.authorHamran, Svein-Eriken_GB
dc.date.accessioned2022-09-06T06:51:34Z
dc.date.accessioned2022-09-13T08:00:41Z
dc.date.available2022-09-06T06:51:34Z
dc.date.available2022-09-13T08:00:41Z
dc.date.issued2022-04-05
dc.identifier.citationEide, Casademont, Aardal, Hamran. Modeling FMCW Radar for Subsurface Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022;15:2998-3007en_GB
dc.identifier.urihttp://hdl.handle.net/20.500.12242/3061
dc.descriptionEide, 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 ;Volum 15. s. 2998-3007en_GB
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.en_GB
dc.language.isoenen_GB
dc.subjectRIMFAXen_GB
dc.subjectRadaren_GB
dc.subjectRefleksjonen_GB
dc.titleModeling FMCW Radar for Subsurface Analysisen_GB
dc.typeArticleen_GB
dc.date.updated2022-09-06T06:51:34Z
dc.identifier.cristinID2046714
dc.identifier.doi10.1109/JSTARS.2022.3165135
dc.source.issn1939-1404
dc.source.issn2151-1535
dc.type.documentJournal article
dc.relation.journalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing


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