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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Campbell, C.K.: Surface Acoustic Wave Devices for Mobile and Wireless Communications. Academic Press, London (1998)
Hashimoto, K.: Surface Acoustic Wave Devices in Telecommunications: Modeling and Simulation. Springer, Berlin, Heidelberg, New York (2000)
Kadota, M., Yoneda, T., Fujimoto, K., Nakao, T., Takata, E.: Resonator filters using shear horizontal-type leaky surface acoustic wave consisting of heavy-metal electrode and quartz substrate. IEEE Trans. on Ultrasonics, Ferroelectrics, and Frequency Control 51(2), 202–210 (2004)
Bausk, E.V.: Optimization of broadband withdrawal weighted interdigital transducers for high selective SAW filters. IEEE Trans. on Ultrasonics, Ferroelectrics, and Frequency Control 46(5), 1276–1282 (1999)
Prabhu, V., Panwar, B.S., Priyanka: Linkage learning genetic algorithm for the design of withdrawal weighted SAW filters. In: Proc. of IEEE Ultrasonics Symposium, pp. 357–360 (2002)
Tagawa, K., Tokunaga, T., Haneda, H., Igaki, T., Seki, S.: Optimal design of three-IDT type SAW filter using local search. In: Proc. of the 28th Annual Conference of the IEEE Industrial Electronics Society (2002)
Tagawa, K., Yamamoto, T., Igaki, T., Seki, S.: An Imanishian genetic algorithm for the optimum design of surface acoustic wave filter. In: Proc. of Congress on Evolutionary Computation, pp. 2748–2755 (2003)
Kojima, T., Suzuki, T.: Fundamental equations of electro-acoustic conversion for an interdigital surface-acoustic-wave transducer by using force factors. Japanese Journal of Applied Physics Supplement 31, 194–197 (1992)
Wiesmann, D., Hammel, U., Bäck, T.: Robust design of multilayer optical coatings by means of evolutionary algorithms. IEEE Trans. on Evolutionary Computation 2(4), 162–167 (1998)
Harry, M.J., Stewart, R.: Six Sigma Mechanical Design Tolerancing. Motorola University Press (1988)
Taguchi, G., Chowdhury, S., Wu, Y.: Taguchi’s Quality Engineering. John Wiley & Sons, Hoboken, New Jersey (2005)
Merz, P., Freisleben, B.: Fitness landscape analysis and memetic algorithms for the quadratic assignment problem. IEEE Trans. on Evolutionary Computation 4(4), 337–352 (2000)
Aarts, E., Lenstra, J.K.: Local Search in Combinatorial Optimization. John Wiley & Sons, Chichester (1997)
Eshelman, L.J., Schaffer, J.D.: Real-coded genetic algorithms and interval-schemata. In: Foundations of Genetic Alg. 2, pp. 187–202. Morgan Kaufmann, San Francisco (1993)
Deb, K.: An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering 186, 311–338 (2000)
Kawachi, O., Mitobe, S., Tajima, M., Yamaji, T., Inoue, S., Hashimoto, K.: A low-loss and wide-band DMS filter using pitch-modulated IDT and reflector structures. In: Proc. of UFFC 50th Anniversary Conference, pp. 298–301 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tagawa, K., Matsuoka, M. (2006). Optimum Design of Surface Acoustic Wave Filters Based on the Taguchi’s Quality Engineering with a Memetic Algorithm. In: Runarsson, T.P., Beyer, HG., Burke, E., Merelo-Guervós, J.J., Whitley, L.D., Yao, X. (eds) Parallel Problem Solving from Nature - PPSN IX. PPSN 2006. Lecture Notes in Computer Science, vol 4193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11844297_30
Download citation
DOI: https://doi.org/10.1007/11844297_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38990-3
Online ISBN: 978-3-540-38991-0
eBook Packages: Computer ScienceComputer Science (R0)