A Fast RCS Analysis Method Based on Parallel Half-Space MLFMA for Formation Problems

A fast radar cross section analysis method based on the half-space multilevel fast multipole algorithm is proposed for formation scattering problems. In the proposed method, the computational redundancy can be effectively avoided by separating the free-space terms from the half-space impedance and reusing the octree constructed by a single member. The coupling effects among all members are strictly considered via translation matrix in free space and a real image, leading to reduced time complexity and memory. Combining data reuse and adaptive direction partitioning strategy, a balanced parallel framework is designed to keep high parallel efficiency. The numerical results validate the high accuracy and efficiency of the proposed method and demonstrate that the proposed method can solve large-scale formation problems.

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Publication Details

Journal
IEEE Antennas and Wireless Propagation Letters
Published
2024-10-08
DOI
https://doi.org/10.1109/lawp.2024.3476290
Citations
1
Primary Topic
Fluid Dynamics Simulations and Interactions
Type
article
Field-Weighted Citation Impact
0.37

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article

A Fast RCS Analysis Method Based on Parallel Half-Space MLFMA for Formation Problems

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1 citations
IEEE Antennas and Wireless Propagation Letters
Fluid Dynamics Simulations and Interactions
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article

A Fast RCS Analysis Method Based on Parallel Half-Space MLFMA for Formation Problems

Xunwang Zhao, Xi Chen, Yu Zhang, Lei Yin, Zhongchao Lin, Peng Hou
article en
1 citations

Abstract

A fast radar cross section analysis method based on the half-space multilevel fast multipole algorithm is proposed for formation scattering problems. In the proposed method, the computational redundancy can be effectively avoided by separating the free-space terms from the half-space impedance and reusing the octree constructed by a single member. The coupling effects among all members are strictly considered via translation matrix in free space and a real image, leading to reduced time complexity and memory. Combining data reuse and adaptive direction partitioning strategy, a balanced parallel framework is designed to keep high parallel efficiency. The numerical results validate the high accuracy and efficiency of the proposed method and demonstrate that the proposed method can solve large-scale formation problems.

IEEE Antennas and Wireless Propagation LettersVol. 23(12)
Xidian University (CN), China XD Group (China) (CN)
Fundamental Research Funds for the Central Universities, Key Research and Development Projects of Shaanxi Province
Climate action
Openalex Percentile: Top 43%
Fluid Dynamics Simulations and Interactions
0.37
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