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dc.contributor.author Yupanqui, Diego
dc.contributor.author Milla, Marco
dc.contributor.author Kuyeng, Karim
dc.contributor.author Ocaña, Eladio
dc.contributor.author Oré, Ernesto
dc.date.accessioned 2021-07-09T14:38:35Z
dc.date.available 2021-07-09T14:38:35Z
dc.date.issued 2021-06
dc.identifier.uri http://hdl.handle.net/20.500.12816/4966
dc.description Poster presented at the 2021 CEDAR Virtual Workshop, June 20-25.
dc.description.abstract In this work, we are conducting a comparison of different methods to solve a one-dimensional aperture-synthesis radar imaging problem based on simulations. For this purpose, we are going to consider the geometry of the Jicamarca ionospheric radar. These methods are going to be applied to the generation of images of field-aligned plasma irregularities in the equatorial ionosphere, particularly, to the case of Spread-F phenomena. The methods used in the comparison goes from a direct Fourier inversion and a simple numerical integration, to more elaborated algorithms, such as, Capon’s method and Maximum entropy method. We are also going to include in the comparison, the compressed sensing technique using the Haar and dab4 basis, in this case, we are assuming that the brightness function of the spread-F echoes has a sparse representation. In the simulations of the radar measurements, we are considering Gaussian shape brightness functions. The different methods will be compared based on some metrics of the reconstructed images. es_ES
dc.format application/pdf es_ES
dc.language.iso eng es_ES
dc.publisher Instituto Geofísico del Perú es_ES
dc.rights info:eu-repo/semantics/openAccess es_ES
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/ es_ES
dc.subject Radar imaging es_ES
dc.subject Inverse problem es_ES
dc.subject Spread-F es_ES
dc.subject Compressed sensing es_ES
dc.subject Wavelets es_ES
dc.title Radar imaging comparison methods es_ES
dc.type info:eu-repo/semantics/conferenceObject es_ES
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#1.05.01 es_ES

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