Efficient Iterative Solution of Combined Source Integral Equation Using Characteristic Basis Function Method With Initial Guess

IF 1.8 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2024-03-28 DOI:10.1109/JMMCT.2024.3382725
Zhiwen Dong;Xinlei Chen;Fan Gao;Changqing Gu;Zhuo Li;Wu Yang;Weibing Lu
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Abstract

Using only the RWG functions, the combined source integral equation (CSIE) with weak form combined source condition can achieve fine accuracy and fast iterative convergence for conductor objects. However, compared with a conventional integral equation in the method of moments (MoM), the conventional CSIE involves more matrices and more complex numerical processing, and these make the CSIE inefficient, especially for multiple excitation problems. In this article, a characteristic basis function (CBF)-based CSIE with initial guess is proposed to mitigate this problem. The CBF is employed to reduce the number of unknowns as well as the storage consumptions and iteration time. In the meantime, an initial guess especially for CBFs is proposed to reduce iterations when solving multiple excitation problems. Numerical results are given to demonstrate the performance of the proposed method.
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使用带初始猜测的特征基函数法高效迭代求解组合源积分方程
仅使用 RWG 函数,具有弱形式组合源条件的组合源积分方程(CSIE)就能实现导体对象的高精度和快速迭代收敛。然而,与矩量法(MoM)中的传统积分方程相比,传统 CSIE 涉及更多矩阵和更复杂的数值处理,这使得 CSIE 效率低下,尤其是在多激励问题上。本文提出了一种基于特征基函数(CBF)的 CSIE(带初始猜测),以缓解这一问题。采用 CBF 可以减少未知数的数量、存储消耗和迭代时间。同时,还提出了一种特别适用于 CBF 的初始猜测,以减少求解多重激励问题时的迭代次数。给出的数值结果证明了所提方法的性能。
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CiteScore
4.30
自引率
0.00%
发文量
27
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