Fast Algorithm for Full-wave EM Scattering Analysis of Large-scale Chaff Cloud with Arbitrary Orientation, Spatial Distribution, and Length

Chung Hyun Lee, Dong-Kook Kang, Kyoung Il Kwon,Kyung-Tae Kim,Dong-Yeop Na

IEEE Antennas and Wireless Propagation Letters（2024）

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Abstract

We propose a new fast algorithm optimized for full-wave electromagnetic (EM) scattering analysis of a large-scale cloud of chaffs with arbitrary orientation, spatial distribution, and length. By leveraging the unique EM scattering characteristics in chaff clouds, we introduce the sparsification via neglecting far-field coupling strategy, which makes an impedance matrix block-banded and sparse and thereby significantly accelerates thin-wire approximate method-of-moments solvers. Our numerical studies demonstrate that the proposed algorithm can estimate the monostatic and bistatic radar cross section (RCS) of large-scale chaff clouds much faster and with greater memory efficiency than the conventional multilevel fast multipole method, while retaining the high accuracy. This algorithm is expected to be highly useful for RCS estimation of large-scale chaff clouds in practical scenarios, serving as a cost-effective ground-truth generator.

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Key words

Chaff,electric-field integral-equation,method-of-moments,multilevel fast multipole method,radar cross section,scattering,sparsification via neglecting far-field coupling

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【要点】：提出了一种优化算法，用于快速分析具有任意方向、空间分布和长度的规模化干扰条云的全波电磁散射特性，提高了计算速度和内存效率。

【方法】：通过利用干扰条云独特的电磁散射特性，引入了一种忽略远场耦合的稀疏化策略，使阻抗矩阵呈现块带状稀疏性，从而加速了细线近似方法-of-moments求解器的计算。

【实验】：数值研究表明，该算法在保持高准确度的同时，能够比传统的多级快速多极方法更快地估算大规模干扰条云的单静态和双静态雷达散射截面（RCS），并使用未具体指出的数据集。

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