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8月16日学术南航学术通告!!!

时间:2012-08-13作者:林然点击:

2012年8月16日(周四)上午10:00在南京理工大学电光大楼第一会议室,Prof. Vladimir I. Okhmatovski
报告:Novel Vectorial MLFMA for Fast Analysis of Electromagnetic Scattering on Large Composite Targets

欢迎老师和同学参加!


主  办: 南京理工大学电子工程与光电技术学院

IEEE AP-MTT-EMC Joint Nanjing Chapter

江苏省电子学会天线与微波专委会



摘    要:

The MLFMA is today's most powerful method for solving large-scale electromagnetic problems with the Method of Moments (MoM). It reduces the computational work and memory in each iteration of the iterative solution of the MoM matrix equation from O(N^2) to O(NlogN), where N is the number of unknowns in the MoM discretization. For models that exhibit multi-scale features, however, both the underlying MoM formulation and MLFMA acceleration schemes must be modified to maintain efficiency. For the MoM this is due to the low-frequency and/or oversampling breakdown of the underlying surface Electric and Magnetic Field Integral Equations. The High-Frequency MLFMA (HF-MLFMA), breaks down at low frequencies due to its inability to capture the evanescent modes of the field. The Low Frequency MLFMA (LF-MLFMA) is based on a multipole decomposition of the Green's function, where the incoming and outgoing fields are expressed as expansions of spherical basis functions. This representation requires the use of translation operators of higher asymptotic complexity than HF-MLFMA and is therefore less efficient at high frequencies. The method is, however, efficient at low and mid frequencies which makes it suitable for the solution of multi-scale geometries up to 120 wavelengths in size without combing it with HF-MLFMA. In this seminar we discuss extension of such LF-MLFMA for acceleration of RWG MoM solution of Combined Field Volume Surface Integral Equation and show that it may be a particularly good choice for electromagnetic analysis of multi-scale metal/dielectric structures. We show that both the electric and magnetic field dyadic kernels in LF-MLFMA can be evaluated with the same memory requirement as the scalar kernel while increasing the matrix-vector product time only by a factor of three.



报告人简介:

Vladimir I. Okhmatovski was born in Moscow, Russia, in 1974. He received the Diploma of Engineer (with distinction) in radiophysics and the Candidate of Sciences (Ph.D.) degree in antennas and microwave circuits from the Moscow Power Engineering Institute, Moscow, Russia, in 1996 and 1997, respectively.

In 1997 he joined the Radio Engineering Department of Moscow Power Engineering Institute as an Assistant Professor. From 1998 to 1999 he was a Post-Doctoral Research Associate at the National Technical University of Athens and from 1999 to 2003,

at the University of Illinois at Urbana-Champaign. From 2003 to 2004, he was with the Department of Custom Integrated Circuits

Advanced Research and Development, Cadence Design Systems as a senior member of technical staff and from 2004 to 2008 as an independent consultant. In 2004 he joined the Department of Electrical and Computer Engineering at University of Manitoba, Canada, where is currently an Associate Professor. Dr. Okhmatovski is a registered Professional Engineer in the Province of Manitoba, Canada. His research interests are in fast algorithms for computational electromagnetics, high-performance computing, modeling of interconnects, and inverse problems