Shafrida Sahrani, and Bong, Siaw Wee and Ping, Kismet Hong (2023) An efficient of overlapping grid method with scattering technique in time domain for numerical modeling. Jurnal Kejuruteraan, 35 (4). pp. 901-912. ISSN 0128-0198
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Official URL: https://www.ukm.my/jkukm/volume-3504-2023/
Abstract
An Overlapping Grid Method (OGM) with Biquadratic Spline Interpolation in scattering technique was developed to solve the direct and inverse scattering issues. A two-dimensional (2D) numerical image model was used to analyze the accuracy of the proposed method in a direct scattering process. It was discovered that when the sub-grid, sxΔ increased, the absolute error for the electric field amplitude will also increase. The results also discovered that as the grid size ratio increased, the absolute error of the amplitude ZE will also increase. The findings show that smaller grid spacing and a finer grid size can produce more accurate results. The Overlapping Grid Method (OGM) with Biquadratic Spline Interpolation was expanded by incorporating with Forward-Backward Time Stepping (FBTS) technique to solve inverse scattering issues. Homogenous embedded objects with a square and circular shape are used to validate the efficiency of the proposed method. The findings showed that the proposed numerical method could detect and reconstruct embedded objects in different shapes. The efficiency of the proposed method was examined by Mean Square Error (MSE) and normalizing the functional error. The findings revealed that the MSE of dielectric profiles for the proposed method were lower than the FDTD method in FBTS. The relative permittivity and conductivity profile differed by 27.06% and 20%, respectively. Hence, it was proven that the proposed method successfully solved a known drawback to the FDTD method and produced more accurate and efficient results.
Item Type: | Article |
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Keywords: | Overlapping Grid Method; Spline Interpolation; Scattering technique; Object reconstruction |
Journal: | Jurnal Kejuruteraan |
ID Code: | 22768 |
Deposited By: | Mohd Hamka Md. Nasir |
Deposited On: | 27 Dec 2023 01:17 |
Last Modified: | 29 Dec 2023 06:41 |
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