Numerical Analysis of Electromagnetic Fields in Multiscale Model

来源 :Communications in Theoretical Physics | 被引量 : 0次 | 上传用户:sunsand
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Modeling technique for electromagnetic fields excited by antennas is an important topic in computational electromagnetics, which is concerned with the numerical solution of Maxwell’s equations. In this paper, a novel hybrid technique that combines method of moments(MoM) with finite-difference time-domain(FDTD) method is presented to handle the problem. This approach employed Huygen’s principle to realize the hybridization of the two classical numerical algorithms. For wideband electromagnetic data, the interpolation scheme is used in the MoM based on the dyadic Green’s function. On the other hand, with the help of equivalence principle, the scattered electric and magnetic fields on the Huygen’s surface calculated by MoM are taken as the sources for FDTD. Therefore, the electromagnetic fields in the environment can be obtained by employing finite-difference time-domain method. Finally, numerical results show the validity of the proposed technique by analyzing two canonical samples. Modeling technique for electromagnetic fields excited by antennas is an important topic in computational electromagnetics, which is concerned with the numerical solution of Maxwell’s equations. In this paper, a novel hybrid technique that combines method moments (MoM) with finite-difference time-domain This approach employs Huygen’s principle to realize the hybridization of the two classical numerical algorithms. For wideband electromagnetic data, the interpolation scheme is used in the MoM based on the dyadic Green’s function. On the other hand, with the help of equivalence principle, the scattered electric and magnetic fields on the Huygen’s surface calculated by MoM are taken as the sources for FDTD. Thus, the electromagnetic fields in the environment can be obtained by employing finite-difference time-domain method Finally, numerical results show the validity of the proposed technique by analyzing two canonical samples.
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