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dc.contributor.authorLagunas Targarona, Eva
dc.contributor.authorAmin, Moeness
dc.contributor.authorAhmad, Fauzia
dc.contributor.authorNájar Martón, Montserrat
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2013-03-13T19:26:11Z
dc.date.available2013-03-13T19:26:11Z
dc.date.created2013-01-22
dc.date.issued2013-01-22
dc.identifier.citationLagunas, E. [et al.]. Determining building interior structures using compressive sensing. "Journal of electronic imaging", 22 Gener 2013, vol. 22, núm. 2.
dc.identifier.issn1017-9909
dc.identifier.urihttp://hdl.handle.net/2117/18289
dc.description.abstractWe consider imaging of the building interior structures using Compressive Sensing (CS) with applications to through-the-wall imaging and urban sensing. We consider a monostatic synthetic aperture radar imaging system employing stepped frequency waveform. The proposed approach exploits prior information of building construction practices to form an appropriate sparse representation of the building interior layout. We devise a dictionary of possible wall locations, which is consistent with the fact that interior walls are typically parallel or perpendicular to the front wall. The dictionary accounts for the dominant normal angle reflections from exterior and interior walls for the monostatic imaging system. Compressive sensing is applied to a reduced set of observations to recover the true positions of the walls. Additional information about interior walls can be obtained using a dictionary of possible corner reflectors, which is the response of the junction of two walls. Supporting results based on simulation and laboratory experiments are provided. It is shown that the proposed sparsifying basis outperforms the conventional through-the-wall CS model, the wavelet sparsifying basis, and the block sparse model for building interior layout detection.
dc.language.isoeng
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::Processament del senyal::Processament del senyal en les telecomunicacions
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
dc.subject.lcshRadar
dc.subject.lcshSignal theory (Telecommunication)
dc.titleDetermining building interior structures using compressive sensing
dc.typeArticle
dc.subject.lemacSenyal, Teoria del (Telecomunicació)
dc.subject.lemacRadar
dc.contributor.groupUniversitat Politècnica de Catalunya. A&MP - Grup de Processament d'Arrays i Sistemes Multicanal
dc.identifier.doi10.1117/1.JEI.22.2.021003
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://electronicimaging.spiedigitallibrary.org/article.aspx?articleid=1558800
dc.rights.accessOpen Access
drac.iddocument11156640
dc.description.versionPostprint (published version)
upcommons.citation.authorLagunas, E.; Amin, M.; Ahmad, F.; Najar, M.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of electronic imaging
upcommons.citation.volume22
upcommons.citation.number2


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain