RUO Principal

Repositorio Institucional de la Universidad de Oviedo

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

Listar

Todo RUOComunidades y ColeccionesPor fecha de publicaciónAutoresTítulosMateriasxmlui.ArtifactBrowser.Navigation.browse_issnPerfil de autorEsta colecciónPor fecha de publicaciónAutoresTítulosMateriasxmlui.ArtifactBrowser.Navigation.browse_issn

Mi cuenta

AccederRegistro

Estadísticas

Ver Estadísticas de uso

AÑADIDO RECIENTEMENTE

Novedades
Repositorio
Cómo publicar
Recursos
FAQs

Inverse scattering for monochromatic phaseless measurements

Autor(es) y otros:
Álvarez López, YuriAutoridad Uniovi; García Fernández, MaríaAutoridad Uniovi; Poli, Lorenzo; García González, CebriánAutoridad Uniovi; Rocca, Paolo; Massa, Andrea; Las Heras Andrés, Fernando LuisAutoridad Uniovi
Palabra(s) clave:

Inverse scattering

Imaging

Dielectric

Permittivity

Fecha de publicación:
2016
Editorial:

IEEE

Versión del editor:
http://dx.doi.org/10.1109/TIM.2016.2615478
Citación:
IEEE Transactions on Instrumentation and Measurement (2016); doi:10.1109/TIM.2016.2615478
Descripción física:
16 p.
Resumen:

An inverse method and measurement setup for profile and constitutive parameters reconstruction from monochromatic phaseless information is presented. The method is based on the minimization of a cost function that relates the measured field with the one scattered by a model of the object under test (OUT), where the position, contour, and constitutive parameters are the unknowns. As a result, phaseless information is directly related to the inverse problem unknowns, thus avoiding the need of an intermediate phase retrieval step. Due to the nonlinear nature of the cost function, global optimization techniques, such as the particle swarm optimization and differential evolution algorithms, have been considered for cost function minimization. An exhaustive analysis of the cost function behavior as a function of the electric size of the OUT is presented, discussing the optimal OUT size where the proposed methodology provides accurate profile and constitutive parameters reconstruction. The proposed methodology is conceived to use it together with a simple, low-cost measurement setup for fast characterization of perfect electric conductor and dielectric objects. Measurement examples are presented aiming to prove the feasibility of the described measurement setup

An inverse method and measurement setup for profile and constitutive parameters reconstruction from monochromatic phaseless information is presented. The method is based on the minimization of a cost function that relates the measured field with the one scattered by a model of the object under test (OUT), where the position, contour, and constitutive parameters are the unknowns. As a result, phaseless information is directly related to the inverse problem unknowns, thus avoiding the need of an intermediate phase retrieval step. Due to the nonlinear nature of the cost function, global optimization techniques, such as the particle swarm optimization and differential evolution algorithms, have been considered for cost function minimization. An exhaustive analysis of the cost function behavior as a function of the electric size of the OUT is presented, discussing the optimal OUT size where the proposed methodology provides accurate profile and constitutive parameters reconstruction. The proposed methodology is conceived to use it together with a simple, low-cost measurement setup for fast characterization of perfect electric conductor and dielectric objects. Measurement examples are presented aiming to prove the feasibility of the described measurement setup

URI:
http://hdl.handle.net/10651/38979
ISSN:
0018-9456
DOI:
10.1109/TIM.2016.2615478
Patrocinado por:

Campus de Excelencia Internacional - Ayudas de Movilidad de Excelencia Banco Santander 2015. Ministerio de Economia y Competitividad - Gobierno de España: TEC 2014-54005-P (MIRIIEM) y MINECO-15-TEC2014-55290-JIN (PORTEMVISION). Gobierno del Principado de Asturias PCTI 2013-2017, FC-15-GRUPIN14-114

Colecciones
  • Artículos [37532]
  • Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas [1086]
  • Investigaciones y Documentos OpenAIRE [8366]
Ficheros en el ítem
Thumbnail
untranslated
Postprint (7.584Mb)
Métricas
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadatos
Mostrar el registro completo del ítem
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
El contenido del Repositorio, a menos que se indique lo contrario, está protegido con una licencia Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Creative Commons Image