Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications
A regularization is integrated with Forward-Backward Time-Stepping (FBTS) method which is formulated in time-domain utilizing Finite-Difference Time-Domain (FDTD) method to solve the nonlinear and ill-posed problem arisen in the microwave inverse scattering problem. FBTS method based on a Polak-Ribi...
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| Main Authors: | , , , , , , |
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| Format: | E-Article |
| Language: | English |
| Published: |
Electromagnetics Academy
2017
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/15912/1/Profile%20Reconstruction%20Utilizing%20Forward-Backward%20Time-Stepping%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/15912/ http://www.jpier.org/PIERM/pierm54/14.16111001.pdf |
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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |
| Summary: | A regularization is integrated with Forward-Backward Time-Stepping (FBTS) method which is formulated in time-domain utilizing Finite-Difference Time-Domain (FDTD) method to solve the nonlinear and ill-posed problem arisen in the microwave inverse scattering problem. FBTS method based on a Polak-Ribiète-Polyak conjugate gradient method is easily trapped in the local minima. Thus, we extend our work with the integration of edge-preserving regularization technique due to its ability to smooth and preserve the edges containing important information for reconstructing the dielectric profiles of the targeted object. In this paper, we propose a deterministic relaxation with Mean Square Error algorithm known as DrMSE in FBTS and integrate it with the automated edge-preserving regularization technique. Numerical simulations are carried out and prove that the reconstructed results are more accurate by calculating the edge-preserving parameter automatically. |
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