Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
Abstract :
Time-domain integral equations are uniquely suited to modeling many electromagnetic scattering phenomena, such as broadband, nonlinear, and time-varying problems. While a method of moments-like Galerkin approach is usually used in their discretization, in principle, the locally corrected Nyström method is equally applicable. The Nyström method has several advantages over Galerkin´s method. It only requires the evaluation of the Green´s function to compute most matrix elements so the setup phase requires less computation, and complex, multipatch parametric basis functions are completely avoided (Canino, L.F. et al., J. Computational Phys., vol.146, p.627-63, 1998). For a time-domain formulation, the spatial integration rules are unchanged; however, the Green´s function is not bandlimited, so any temporal sampling results in aliasing. Also, the local corrections approach outlined by Canino et al. accounts for the spatial singularity of the Green´s function, but not the temporal singularity. These problems are intimately linked and can be addressed by filtering the Green´s function, resulting in an accurate and stable method.
Keywords :
Galerkin method; Green´s function methods; electromagnetic wave scattering; filtering theory; integral equations; matrix algebra; method of moments; sampling methods; time-domain analysis; 2D transverse-magnetic time-domain scattering; Galerkin approach; Green function filtering; broadband problems; complex basis functions; discretization; electromagnetic scattering; locally corrected Nystrom method; matrix elements; method of moments; multipatch parametric basis functions; nonlinear problems; spatial singularity; temporal sampling; temporal singularity; time-domain formulation; time-domain integral equations; time-varying problems; Current density; Electromagnetic scattering; Filtering; Frequency; Green´s function methods; Integral equations; Magnetic fields; Moment methods; Sampling methods; Time domain analysis;