Antenna's shape optimization and reconstruction by level-set 3D

P. Dubois, C. Dedeban, J. Zolésio
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引用次数: 1

Abstract

The inverse scattering problem in electromagnetic is studied through the minimisation of the functional Jscr = frac12 intthetas(|E-Eid|)2dgamma, where Eoarr is the solution of the classical exterior Maxwell problem, Eoarrid the measure of the electrical ideal field and thetas is a fixed region of the open domain Omega. Considering this inverse problem, we compute the shape derivative of the functional Jscr for a smooth surface using an original min max formulation. After solving the state problems and computing the shape gradient by the integral equation, we introduce the level set optimization method. This method, based on the implicit representation of the boundary of Omega t (where t is the evolution parameter) and the speed method, allows to reconstruct a homogenous surface triangular mesh at each iteration to decrease the value of the functional, notably performing several topological changes. We present here some original case of 3D reconstruction in full illumination and pure underconstrained configuration. We present notably the reconstruction of singular geometry. Finally we apply the techniques on a parabolic antenna and present the optimized diagram
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水平集三维天线形状优化与重构
通过最小化泛函Jscr = frac12 intthetas(|E-Eid|)2dgamma来研究电磁中的逆散射问题,其中Eoarr是经典的外部麦克斯韦问题的解,Eoarrid是理想电场的测量,theta是开放域Omega的一个固定区域。考虑到这一反问题,我们使用原始的最小最大公式计算光滑表面的泛函Jscr的形状导数。在用积分方程求解状态问题和计算形状梯度后,引入水平集优化方法。该方法基于Omega t(其中t为演化参数)边界的隐式表示和速度方法,允许在每次迭代中重建一个均匀的表面三角形网格,以减少泛函的值,特别是执行几个拓扑变化。本文给出了在全光照和纯欠约束条件下三维重建的一些原始案例。我们特别提出了奇异几何的重建。最后将该技术应用于抛物面天线,并给出了优化图
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