RUO Home

Repositorio Institucional de la Universidad de Oviedo

View Item 
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • View Item
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • View Item
    • español
    • English
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of RUOCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issnAuthor profilesThis CollectionBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issn

My Account

LoginRegister

Statistics

View Usage Statistics

RECENTLY ADDED

Last submissions
Repository
How to publish
Resources
FAQs

On the combination of SAR and model based techniques for high-resolution real-time two-dimensional reconstruction

Author:
González Valdés, Borja; Álvarez López, YuriUniovi authority; Martínez Lorenzo, José ÁngelUniovi authority; Las Heras Andrés, Fernando LuisUniovi authority; Rappaport, Carey M.
Publication date:
2014
Editorial:

IEEE

Publisher version:
http://dx.doi.org/10.1109/TAP.2014.2346203
Citación:
IEEE Transactions On Antennas And Propagation, 62(10), p. 5180-5189 (2014); doi:10.1109/TAP.2014.2346203
Descripción física:
p. 5180-5189
Abstract:

A novel, real-time, two-dimensional method to find the shape of a body from its scattered electric fields is presented. The method is based on a unique combination of the information obtained from the target using the SAR formulation with a novel fast model-based inversion. In the first step, a fast implementation of the SAR inversion is used to recover an initial estimate of the body shape. Secondly, the phase and amplitude of the SAR image are used to extract a set of first guess contours close to the actual position of the body under test. In a third step, these contours are used as a starting point for a model-based inversion in order to disregard the contours that do not match the body profile and to improve the final result. Resolution of less than half of a wavelength for the proposed method is achieved using representative simulation results and measured data

A novel, real-time, two-dimensional method to find the shape of a body from its scattered electric fields is presented. The method is based on a unique combination of the information obtained from the target using the SAR formulation with a novel fast model-based inversion. In the first step, a fast implementation of the SAR inversion is used to recover an initial estimate of the body shape. Secondly, the phase and amplitude of the SAR image are used to extract a set of first guess contours close to the actual position of the body under test. In a third step, these contours are used as a starting point for a model-based inversion in order to disregard the contours that do not match the body profile and to improve the final result. Resolution of less than half of a wavelength for the proposed method is achieved using representative simulation results and measured data

URI:
http://hdl.handle.net/10651/30372
ISSN:
0018-926X; 1558-2221
DOI:
10.1109/TAP.2014.2346203
Patrocinado por:

U.S. Department of Homeland Security [2008-ST-061-ED0001]; Ministerio de Economia y Competitividad of Spain/FEDER [CSD2008-00068, TEC2011-24492/TEC]; Galician Regional Government under Plan I2C

Id. Proyecto:

U.S. Department of Homeland Security/2008-ST-061-ED0001

MEC-FEDER/CSD2008-00068, TEC2011-24492/TEC

Xunta de Galicia/Plan I2C

Collections
  • Artículos [33264]
  • Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas [881]
  • Investigaciones y Documentos OpenAIRE [6783]
Files in this item
Thumbnail
untranslated
Postprint (5.060Mb)
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadata
Show full item record
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
The content of the Repository, unless otherwise specified, is protected with a Creative Commons license: Attribution-Non Commercial-No Derivatives 4.0 Internacional
Creative Commons Image