Efficiency And Convergence Of The Wave Concept Iterative Procedure

Abstract

In some electromagnetic iterative methods, the convergence to the solution is slow and the stable solution is not always found. The present paper describes three methods used to improve the speed and the stability of the convergence process for the Wave Concept Iterative Procedure (WCIP). Two of these methods are not directly related to the electromagnetic fields computation and can be used in other iterative computing procedures as well.

The study of packaging miniaturization effect on the characteristics of an active planar circuit by using the iterative method

“…The waves are subject to constraints imposed by the discontinuity (4) and by the reflection over the metallic walls of the box (5).…”

“…The (mostly) same method is denoted in literature as Transverse Wave Formulation and more recently Wave Concept Iterative Procedure – WCIP . WCIP compares favorably with other commercially available software regarding the precision and promises better performance in computation efficiency in structures with very different layer heights .…”

“…The use of EM simulators becomes necessary to take into account complex EM phenomena produced by miniaturization. The iterative method, based on the concept of the wave and the fast Fourier modal transformation (FMT), consists in the substitution of selected cells by their equivalent surface impedances; it is one approach of the numerical EM analysis techniques, which can be incorporated into any circuit simulator and has the advantage of requiring computing equipment with minimal configuration, and his achievement is the computing time record and a better spatial resolution .…”

Rigorous iterative full‐wave method for the analysis of multi‐band arbitrary U‐shaped antennas

“…It is close to the spectral methods « S.I.T. » (Spectral Iterative Technique) developed by Bojarski , Ko and Mittra , which has been applied for an extended range of diffractions and radiations problems. The WCIP is known by its easiness implementation, high speed of execution with minimal configuration and better spatial resolution .…”