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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.accessioned2013-03-11T16:45:48Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationLagunas, E. [et al.]. Joint wall mitigation and compressive sensing for indoor image reconstruction. "IEEE transactions on geoscience and remote sensing", 2012, vol. 51, núm. 2, p. 891-906.
dc.identifier.issn0196-2892
dc.identifier.urihttp://hdl.handle.net/2117/18183
dc.description.abstractCompressive sensing (CS) for urban operations and through-the-wall radar imaging has been shown to be successful in fast data acquisition and moving target localizations. The research in this area thus far has assumed effective removal of wall elec- tromagnetic backscatterings prior to CS application. Wall clutter mitigation can be achieved using full data volume which is, how- ever, in contradiction with the underlying premise of CS. In this paper, we enable joint wall clutter mitigation and CS application using a reduced set of spatial-frequency observations in stepped frequency radar platforms. Specifically, we demonstrate that wall mitigation techniques, such as spatial filtering and subspace pro- jection, can proceed using fewer measurements. We consider both cases of having the same reduced set of frequencies at each of the available antenna locations and also when different frequency measurements are employed at different antenna locations. The latter casts a more challenging problem, as it is not amenable to wall removal using direct implementation of filtering or projection techniques. In this case, we apply CS at each antenna individually to recover the corresponding range profile and estimate the scene response at all frequencies. In applying CS, we use prior knowl- edge of the wall standoff distance to speed up the convergence of the orthogonal matching pursuit for sparse data reconstruction. Real data are used for validation of the proposed approach
dc.format.extent16 p.
dc.language.isoeng
dc.publisherIEEE Press. Institute of Electrical and Electronics Engineers
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
dc.subject.lcshSignal processing
dc.subject.lcshRadar
dc.titleJoint wall mitigation and compressive sensing for indoor image reconstruction
dc.typeArticle
dc.subject.lemacTractament del senyal
dc.subject.lemacRadar
dc.contributor.groupUniversitat Politècnica de Catalunya. A&MP - Grup de Processament d'Arrays i Sistemes Multicanal
dc.identifier.doi10.1109/TGRS.2012.2203824
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6247497
dc.rights.accessRestricted access - publisher's policy
drac.iddocument11156621
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorLagunas, E.; Amin, M.; Ahmad, F.; Najar, M.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIEEE transactions on geoscience and remote sensing
upcommons.citation.volume51
upcommons.citation.number2
upcommons.citation.startingPage891
upcommons.citation.endingPage906


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