Spatially Large-Domain and Temporally Entire-Domain Electric-Field Integral Equation Method of Moments for 3-D Scattering Analysis in Time Domain

被引:4
|
作者
Sekeljic, Nada J. [1 ]
Ilic, Milan M. [1 ,2 ]
Notaros, Branislav M. [1 ]
机构
[1] Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA
[2] Univ Belgrade, Sch Elect Engn, Belgrade 11120, Serbia
基金
美国国家科学基金会;
关键词
Curved parametric elements; electromagnetic analysis; higher order modeling; method of moments (MoMs); numerical techniques; polynomial basis functions; scattering; surface integral equations (SIEs); time domain analysis; transient response; TRANSIENT ELECTROMAGNETIC SCATTERING; LAGUERRE-POLYNOMIALS; CONDUCTING BODIES; ARBITRARY SHAPE; SURFACES; RADIATION; OBJECTS; CFIE;
D O I
10.1109/TAP.2015.2418343
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A novel spatially large-domain and temporally entire-domain method of moments (MoM) is proposed for surface integral equation (SIE) modeling of 3-D conducting scatterers in the time domain (TD). The method uses higher order curved Lagrange interpolation-generalized quadrilateral geometrical elements, higher order spatial current expansions based on hierarchical divergence-conforming polynomial vector basis functions, and temporal current modeling by means of orthogonal weighted associated Laguerre basis functions. It implements full temporal and spatial Galerkin testing and marching-on-in-degree (MOD) scheme for an iterative solution of the final system of spatially and temporally discretized MoM-TD equations. Numerical examples demonstrate excellent accuracy, efficiency, convergence, and versatility of the new MoM-MOD method. The results also demonstrate very effective large-domain MoM-TD SIE models of scatterers using flat and curved patches of electrical sizes of up to about 1.7 wavelengths at the maximum frequency in the frequency spectrum of the pulse excitation, higher order current expansions of spatial orders from 2 to 8 in conjunction with entire-domain Laguerre temporal bases, and minimal numbers of unknowns.
引用
收藏
页码:2614 / 2626
页数:13
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