The Method of Weighted Residuals: A General Approach to Deriving Time- and Frequency-Domain Numerical Methods

被引:17
|
作者
Chen, Zhizhang [1 ]
Ney, Michel M. [2 ]
机构
[1] Dalhousie Univ, Dept Elect Engn, Halifax, NS B3J 2X4, Canada
[2] TELECOM Bretagne Inst, Microwave Dept, F-29238 Brest 3, France
基金
加拿大自然科学与工程研究理事会;
关键词
Method of weighted residuals; moment methods; time domain analysis; frequency domain analysis; expansion basis functions; weighting functions; testing functions; FDTD; finite element methods; finite difference frequency domain; method of lines; spectral domain method; mode matching; transmission line matrix method; MAXWELLS EQUATIONS; INTEGRAL-EQUATIONS; SCHEME; FDTD; TLM; CHOICE;
D O I
10.1109/MAP.2009.4939019
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
The Method of the Weighted Residuals (MWR), sometimes known as the Method of Moments (MoM), has traditionally been applied in the frequency domain and has been shown to be effective and efficient, especially in computing open electromagnetic structure problems. Although it has been extended to the time domain in various forms, it is generally employed to solve integral formulations derived from Maxwell's equations. Therefore, it is often considered to be one type of numerical method that is different from other numerical methods, such as finite-difference methods. However, in this paper we will show that the MWR, or MoM, is not just a method per se: it can in fact be a general framework for or approach to unifying or deriving most of the numerical methods developed so far, either in the frequency domain or in the time domain. As a result, all numerical methods can be quite easily understood and can be categorized in one general method, although their conventional derivations may still have their respective advantages. One potential application is that the hybridization of different numerical methods can now be done within a uniform framework. The paper is intended for both beginners and experienced practitioners in the area of numerical electromagnetic modeling.
引用
收藏
页码:51 / 70
页数:20
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