Simulation modeling and optimization technique for balanced surface acousticwave filters

Authors:
Kiyoharu Tagawa
Affiliations:
Department of Informatics, School of Science and Technology, Kinki University, Osaka, Japan
Venue:
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Year:
2007

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Abstract

An optimum design technique for balanced surface acoustic wave (SAW) filters is proposed. First of all, in order to evaluate the performance of balanced SAW filters by the computer simulation, a numerical model of balanced SAW filters is derived by using mixed-mode scattering parameters. Then the structural design of balanced SAW filters is formulated as a function optimization problem that aims to improve their balance characteristics and satisfy specifications for filter characteristics. Furthermore, in order to solve the function optimization problem successfully, a simple and efficient global optimization method, i.e., the differential evolution (DE), is employed.