Radar imaging with compressed sensing

dc.creatorHarding, Brian J.
dc.creatorMilla, Marco
dc.date.accessioned2018-06-28T14:13:29Z
dc.date.accessioned2023-05-24T14:20:24Z
dc.date.available2018-06-28T14:13:29Z
dc.date.available2023-05-24T14:20:24Z
dc.date.created2018-06-28T14:13:29Z
dc.date.issued2013-10
dc.identifierHarding, B. J., & Milla, M. (2013). Radar imaging with compressed sensing.==$Radio Science, 48$==(5), 582-588. https://doi.org/10.1002/rds.20063
dc.identifierindex-oti2018
dc.identifierhttp://hdl.handle.net/20.500.12816/1563
dc.identifierRadio Science
dc.identifierhttps://doi.org/10.1002/rds.20063
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6427876
dc.description.abstractA novel technique for radar-imaging inversions is proposed which leverages ideas from the emerging field of compressed sensing. This new method takes advantage of the transform sparsity inherent in natural images. Theoretical recovery results are promising and are borne out by simulations in which this technique outperforms Capon’s method and the Maximum Entropy method. Preliminary results using data collected at the Jicamarca Radio Observatory are also presented.
dc.languageeng
dc.publisherAmerican Geophysical Union
dc.relationurn:issn:0048-6604
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectRadar imaging
dc.subjectCompressed sensing
dc.subjectIonosphere
dc.titleRadar imaging with compressed sensing
dc.typeinfo:eu-repo/semantics/article


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