Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications

• Main Authors: Yong, G., Ping, K.A.H., Sahrani, S., Marhaban, M.H., Sariphan, M.I., Moriyama, T., Takenaka, T.
• Format: E-Article
• Language: English
• Published: Electromagnetics Academy 2017
• Subjects: T Technology (General)
• 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

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.