Radar imaging with compressed sensing

Descripción del Articulo

A 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 t...

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Detalles Bibliográficos
Autores: Harding, Brian J., Milla, Marco
Formato: artículo
Fecha de Publicación:2013
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/1563
Enlace del recurso:http://hdl.handle.net/20.500.12816/1563
https://doi.org/10.1002/rds.20063
Nivel de acceso:acceso abierto
Materia:Radar imaging
Compressed sensing
Ionosphere
http://purl.org/pe-repo/ocde/ford#1.05.01
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dc.title.none.fl_str_mv Radar imaging with compressed sensing
title Radar imaging with compressed sensing
spellingShingle Radar imaging with compressed sensing
Harding, Brian J.
Radar imaging
Compressed sensing
Ionosphere
http://purl.org/pe-repo/ocde/ford#1.05.01
title_short Radar imaging with compressed sensing
title_full Radar imaging with compressed sensing
title_fullStr Radar imaging with compressed sensing
title_full_unstemmed Radar imaging with compressed sensing
title_sort Radar imaging with compressed sensing
author Harding, Brian J.
author_facet Harding, Brian J.
Milla, Marco
author_role author
author2 Milla, Marco
author2_role author
dc.contributor.author.fl_str_mv Harding, Brian J.
Milla, Marco
dc.subject.none.fl_str_mv Radar imaging
Compressed sensing
Ionosphere
topic Radar imaging
Compressed sensing
Ionosphere
http://purl.org/pe-repo/ocde/ford#1.05.01
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.01
description A 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.
publishDate 2013
dc.date.accessioned.none.fl_str_mv 2018-06-28T14:13:29Z
dc.date.available.none.fl_str_mv 2018-06-28T14:13:29Z
dc.date.issued.fl_str_mv 2013-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv Harding, B. J., & Milla, M. (2013). Radar imaging with compressed sensing.==$Radio Science, 48$==(5), 582-588. https://doi.org/10.1002/rds.20063
dc.identifier.govdoc.none.fl_str_mv index-oti2018
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/1563
dc.identifier.journal.none.fl_str_mv Radio Science
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1002/rds.20063
identifier_str_mv Harding, B. J., & Milla, M. (2013). Radar imaging with compressed sensing.==$Radio Science, 48$==(5), 582-588. https://doi.org/10.1002/rds.20063
index-oti2018
Radio Science
url http://hdl.handle.net/20.500.12816/1563
https://doi.org/10.1002/rds.20063
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:0048-6604
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Geophysical Union
publisher.none.fl_str_mv American Geophysical Union
dc.source.none.fl_str_mv reponame:IGP-Institucional
instname:Instituto Geofísico del Perú
instacron:IGP
instname_str Instituto Geofísico del Perú
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institution IGP
reponame_str IGP-Institucional
collection IGP-Institucional
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Radar imaging with compressed sensing
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