A neural-based electromagnetic inverse scattering approach to the detection of a conducting cylinder coated with a dielectric material

Senem MAKAL; Ahmet KIZILAY

Makale detayları

A neural-based electromagnetic inverse scattering approach to the detection of a conducting cylinder coated with a dielectric material

Yazarlar:

Senem MAKAL | Ahmet KIZILAY

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue Sup.2, pp.1249-1258

Belge Tipi:

Makale

Yayın Tarihi:

11/2011

Belge Dili:

Türkçe

Document ID (Org No.):

2000743684

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

In this study, a radial basis function neural network  approach is applied for the estimation of the localization and the  radius of a conducting cylinder with a circular cross-section coated  with a dielectric material.  A set of features, the radar  cross-section (RCS) values, are derived from scattered fields, which  are calculated using the surface equivalence principle and the method  of moment.  RCS values are obtained using 10 different scattering  angles that are fed into the network.  The outputs of the network are  the location (x0, y0) and the radius (rp) of the conducting  cylinder.  This is an application of the electromagnetic inverse  scattering of the objects embedded in a material based on the use of a neural network.

 

In this study, a radial basis function neural network  approach is applied for the estimation of the localization and the  radius of a conducting cylinder with a circular cross-section coated  with a dielectric material.  A set of features, the radar  cross-section (RCS) values, are derived from scattered fields, which  are calculated using the surface equivalence principle and the method  of moment.  RCS values are obtained using 10 different scattering  angles that are fed into the network.  The outputs of the network are  the location (x0, y0) and the radius (rp) of the conducting  cylinder.  This is an application of the electromagnetic inverse  scattering of the objects embedded in a material based on the use of a neural network.

Makale detayları

A neural-based electromagnetic inverse scattering approach to the detection of a conducting cylinder coated with a dielectric material

Yazarlar: Senem MAKAL | Ahmet KIZILAY

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue Sup.2, pp.1249-1258

Belge Tipi: Makale

Yayın Tarihi: 11/2011

Belge Dili: Türkçe

Document ID (Org No.): 2000743684

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Senem MAKAL | Ahmet KIZILAY

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue Sup.2, pp.1249-1258

Belge Tipi:

Makale

Yayın Tarihi:

11/2011

Belge Dili:

Türkçe

Document ID (Org No.):

2000743684

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632