An Ann-based inverse scattering approach to estimate thickness and permittivity of multi-layered

Author

Zhou, Huilin ; Li, Wei

Author_Institution

Dept. of Electron. Inf. Eng., Nanchang Univ., Nanchang, China

fYear

2011

fDate

9-11 Sept. 2011

Firstpage

128

Lastpage

131

Abstract

An ANN-based inverse scattering algorithm for estimation of the thickness and permittivity of multi-layered medium is proposed in this paper, which demonstrates the simplification and effectiveness of feature extraction of reflected signal of each layer. Neural network is adopted to investigate the nonlinear model between the feature of reflected wave and thickness and permittivity of medium. The results based on simulation data generated by the software GprMax2D show that the proposed algorithm is effective to estimate the thickness and permittivity of multi-layered medium.

Keywords

digital simulation; feature extraction; ground penetrating radar; neural nets; permittivity; radar computing; radar signal processing; ANN-based inverse scattering approach; artificial neural network; feature extraction; multilayered medium permittivity; reflected signal; reflected wave; software GprMax2D; thickness estimation; Electromagnetics; Feature extraction; Ground penetrating radar; Inverse problems; Numerical models; Permittivity; Testing; GPR; feature extraction; inverse scattering; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Control (ICECC), 2011 International Conference on

Conference_Location

Ningbo

Print_ISBN

978-1-4577-0320-1

Type

conf

DOI

10.1109/ICECC.2011.6067732

Filename

6067732