Title :
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
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;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6067732
