Design of microwave structures with MEFISTO-3D NOVA and MATLAB optimization and neural network toolboxes

✍ Scribed by Hong-Son Chu; Poman P. M. So; Wolfgang J. R. Hoefer

• Publisher: John Wiley and Sons
• Year: 2006
• Tongue: English
• Weight: 204 KB
• Volume: 20
• Category: Article
• ISSN: 0894-3370
• DOI: 10.1002/jnm.630

✦ Synopsis

Abstract

This paper introduces two time‐domain field‐based optimization procedures for microwave engineering. The methods are built on the foundations of MATLAB's optimization and neural network toolboxes. The first procedure makes use of a direct connection linking MATLAB's optimization toolbox with MEFISTO‐3D NOVA. In this approach the field simulator acts as an objective function server for the optimization toolbox; these two programs work cooperatively with each other to tune the structure parameters to obtain a target response. The second procedure is an indirect optimization approach that makes use of MATLAB's neural network toolbox in conjunction with MEFISTO‐3D NOVA to create a neural network model to emulate the structure of interest; the resulting neural network model is then used an objective function server in a normal MATLAB optimization process. Copyright © 2006 John Wiley & Sons, Ltd.