Higher-order accurate finite-difference simulation for tunnel propagation modeling
ISSN: 0332-1649
Article publication date: 20 April 2022
Issue publication date: 26 August 2022
Abstract
Purpose
This paper aims to improve the computational efficiency of higher-order accurate Noye–Hayman [NH (9,9)] implicit finite difference scheme for the solution of electromagnetic scattering problems in tunnel environments.
Design/methodology/approach
The proposed method consists of two major steps: First, the higher-order NH (9,9) scheme is numerically discretized using the finite-difference method. The second step is to use an algorithm based on hierarchical interpolative factorization (HIF) to accelerate the solution of this scheme.
Findings
It is observed that the simulation results obtained from the numerical tests illustrate very high accuracy of the NH (9,9) method in typical tunnel environments. HIF algorithm makes the NH (9,9) method computationally efficient for two-dimensional (2D) or three-dimensional (3D) problems. The proposed method could help in reducing the computational cost of the NH (9,9) method very close to O(n) usual O(n3) for a full matrix.
Research limitations/implications
For simplicity, in this study, perfect electric conductor boundary conditions are considered. Future research may also include the utilization of meteorological techniques, including the effects of backward traveling waves, and make comparisons with the experimental data.
Originality/value
This study is directly applicable to typical problems in the field of tunnel propagation modeling for both national commercial and military applications.
Keywords
Citation
Rasool, H.F., Qureshi, M.A., Aziz, A., Akhtar, Z.U.A. and Khan, U.A. (2022), "Higher-order accurate finite-difference simulation for tunnel propagation modeling", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 41 No. 5, pp. 1811-1825. https://doi.org/10.1108/COMPEL-07-2021-0256
Publisher
:Emerald Publishing Limited
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