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Current recovery for the RWG-based method of moments

机译:基于RWG的矩量法的当前恢复

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摘要

Derivative recovery through local smoothing, is a well-known approach to obtain an estimate of a solution field's derivative, to one polynomial order higher than its direct representation. In the finite element method context, this is often referred to as `gradient recovery'. The method of moments (MoM) is routinely used to solve electromagnetic field integral equations in terms of the electric surface current density, which is often represented by mixed first-order, Rao-Wilton-Glisson (RWG) basis functions upon a mesh of triangle elements. A procedure for recovering a mixed second-order, approximate solution from an RWG-based MoM solution is presented. Recovery of the solution itself rather than its derivative, is made possible by exploiting specific properties of the mixed-order, surface divergence-conforming function spaces. The procedure is not strictly local, however, only sparse, positive-definite global linear systems must be solved. The procedure is independent of the integral operator. Computational complexity is lower than that of existing residual-based MoM error estimators. Results are shown with the recovered solution being a better approximation than the original solution. The procedure is useful for post-processing and for local or global a posteriori error estimation. It can be incorporated into any RWG-based MoM code.
机译:通过局部平滑进行导数恢复是一种获得解决方案场导数估计值的公知方法,该估计项的阶数高于其直接表示的多项式。在有限元方法的上下文中,这通常称为“梯度恢复”。矩量法(MoM)通常用于根据表面电流密度求解电磁场积分方程,该方程通常由三角形网格上的混合一阶Rao-Wilton-Glisson(RWG)基函数表示元素。提出了一种从基于RWG的MoM解决方案中恢复混合二阶近似解决方案的过程。通过利用混合阶,表面发散相一致的函数空间的特定属性,可以恢复溶液本身而不是其导数。该过程不是严格地局部的,但是,仅必须解决稀疏的正定全局线性系统。该过程独立于积分运算符。计算复杂度低于现有的基于残差的MoM误差估计器。结果显示,回收的溶液比原始溶液更好。该过程对于后处理以及局部或全局后验误差估计很有用。可以将其合并到任何基于RWG的MoM代码中。

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