Combination of MLFMA and ACA to Accelerate Computation of Scattering from Underground Targets

Electromagnetic nondestructive evaluation of underground targets is of great significance for the safety of urban construction. Based on the accurate and efficient simulation of scattering, we can detect the underground targets successfully. As one of the most popular numerical methods in electromag...

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Main Authors: Zhiwei Liu, Dan Tang, Zhanyang Zhang, Yueyuan Zhang, Xiaoli Wang, Shunli Jie
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2019/3456871
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author Zhiwei Liu
Dan Tang
Zhanyang Zhang
Yueyuan Zhang
Xiaoli Wang
Shunli Jie
author_facet Zhiwei Liu
Dan Tang
Zhanyang Zhang
Yueyuan Zhang
Xiaoli Wang
Shunli Jie
author_sort Zhiwei Liu
collection DOAJ
description Electromagnetic nondestructive evaluation of underground targets is of great significance for the safety of urban construction. Based on the accurate and efficient simulation of scattering, we can detect the underground targets successfully. As one of the most popular numerical methods in electromagnetics, surface integral equations solved by method of moments (MoM) are used to simulate the scattering from underground targets in this paper. The integral equation is discretized by RWG basis and Galerkin testing. Multilevel fast multipole algorithm (MLFMA) is used to decrease the computation complexity and memory cost. However, the octree used in MLFMA is not applied for rough surfaces and targets together; both the surface and target need to construct octree separately. Since the combination of MLFMA and ACA can build a more efficient method to compute scattering from underground targets, adaptive cross approximation (ACA) is used to compress the impedance matrix instead of MLFMA for the coupling action between the rough surface and target. That is to say that, when calculating the scattering of two targets, target self-interaction is suitable for MLFMA calculation and the coupling between targets is approximated by ACA. Numerical results demonstrate the accuracy and efficiency of our proposed method.
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institution Kabale University
issn 1687-5869
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language English
publishDate 2019-01-01
publisher Wiley
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series International Journal of Antennas and Propagation
spelling doaj-art-93bbd1873d5e465fb73b60e54f78f5392025-02-03T01:06:44ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772019-01-01201910.1155/2019/34568713456871Combination of MLFMA and ACA to Accelerate Computation of Scattering from Underground TargetsZhiwei Liu0Dan Tang1Zhanyang Zhang2Yueyuan Zhang3Xiaoli Wang4Shunli Jie5Department of Information Engineering, East China Jiaotong University, 808 East Shuanggang Street, Nanchang, Jiangxi, ChinaDepartment of Intelligent Science and Technology, Jiangxi Tellhow Animation College, 1888 Jinsha 2nd Road, Nanchang, Jiangxi, ChinaDepartment of Information Engineering, East China Jiaotong University, 808 East Shuanggang Street, Nanchang, Jiangxi, ChinaDepartment of Information Engineering, East China Jiaotong University, 808 East Shuanggang Street, Nanchang, Jiangxi, ChinaDepartment of Information Engineering, East China Jiaotong University, 808 East Shuanggang Street, Nanchang, Jiangxi, ChinaDepartment of Information Engineering, East China Jiaotong University, 808 East Shuanggang Street, Nanchang, Jiangxi, ChinaElectromagnetic nondestructive evaluation of underground targets is of great significance for the safety of urban construction. Based on the accurate and efficient simulation of scattering, we can detect the underground targets successfully. As one of the most popular numerical methods in electromagnetics, surface integral equations solved by method of moments (MoM) are used to simulate the scattering from underground targets in this paper. The integral equation is discretized by RWG basis and Galerkin testing. Multilevel fast multipole algorithm (MLFMA) is used to decrease the computation complexity and memory cost. However, the octree used in MLFMA is not applied for rough surfaces and targets together; both the surface and target need to construct octree separately. Since the combination of MLFMA and ACA can build a more efficient method to compute scattering from underground targets, adaptive cross approximation (ACA) is used to compress the impedance matrix instead of MLFMA for the coupling action between the rough surface and target. That is to say that, when calculating the scattering of two targets, target self-interaction is suitable for MLFMA calculation and the coupling between targets is approximated by ACA. Numerical results demonstrate the accuracy and efficiency of our proposed method.http://dx.doi.org/10.1155/2019/3456871
spellingShingle Zhiwei Liu
Dan Tang
Zhanyang Zhang
Yueyuan Zhang
Xiaoli Wang
Shunli Jie
Combination of MLFMA and ACA to Accelerate Computation of Scattering from Underground Targets
International Journal of Antennas and Propagation
title Combination of MLFMA and ACA to Accelerate Computation of Scattering from Underground Targets
title_full Combination of MLFMA and ACA to Accelerate Computation of Scattering from Underground Targets
title_fullStr Combination of MLFMA and ACA to Accelerate Computation of Scattering from Underground Targets
title_full_unstemmed Combination of MLFMA and ACA to Accelerate Computation of Scattering from Underground Targets
title_short Combination of MLFMA and ACA to Accelerate Computation of Scattering from Underground Targets
title_sort combination of mlfma and aca to accelerate computation of scattering from underground targets
url http://dx.doi.org/10.1155/2019/3456871
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