Optimum design of surface acoustic wave filters based on the taguchi's quality engineering with a memetic algorithm

Abstract

For deciding suitable structures of surface acoustic wave (SAW) filters based on the computer simulation, the equivalent circuit model of interdigital transducer (IDT), which includes several uncertain constant parameters, is usually used. In order to cope with the imperfections of the optimum design caused by the inevitable dispersion of these constant parameters, a technique based on the Taguchi's quality engineering coupled with a memetic algorithm (MA) is presented. Besides the traditional Taguchi's two-step design approach maximizing the robustness of SAW filters before realizing their specified functions, the proposed MA enables us to improve their robustness and functions simultaneously. © Springer-Verlag Berlin Heidelberg 2006.