We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
Reseach Article

Frequency Response Optimization of Saw Filter using Canonical Genetic Algorithm

by Prachi Chaudhary, Priyanka, Manoj Duhan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 6
Year of Publication: 2011
Authors: Prachi Chaudhary, Priyanka, Manoj Duhan
10.5120/3104-4263

Prachi Chaudhary, Priyanka, Manoj Duhan . Frequency Response Optimization of Saw Filter using Canonical Genetic Algorithm. International Journal of Computer Applications. 26, 6 ( July 2011), 45-49. DOI=10.5120/3104-4263

@article{ 10.5120/3104-4263,
author = { Prachi Chaudhary, Priyanka, Manoj Duhan },
title = { Frequency Response Optimization of Saw Filter using Canonical Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 6 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 45-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number6/3104-4263/ },
doi = { 10.5120/3104-4263 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:31.344385+05:30
%A Prachi Chaudhary
%A Priyanka
%A Manoj Duhan
%T Frequency Response Optimization of Saw Filter using Canonical Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 6
%P 45-49
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An optimization program is employed to design the inter-digital transducer (IDT) structure of the surface acoustic wave (SAW) transducer to aim at improvement in the transducer characteristics and to improve the frequency response of SAW filter. In this paper, Genetic algorithm is used to optimize the response of a SAW filter. Then, the comparison of the response of SAW filter is done by using GA and without GA. The goal of optimization is to find best value for each variable in order to achieve minima or maxima of an objective function within the given constraints. In present study, three design variables of SAW filter i.e. number of finger pairs in input IDT (Np1), number of finger pairs in `output IDT (Np2), center to center distance between two electrodes in a finger pair (d), are optimized. After getting the optimized parameters of SAW filter, the frequency response of bandpass SAW filter is obtained, which is better as compared to the frequency response of SAW filter getting from other methods in terms of bandwidth and ripples amplitude.

References
  1. Kiyoharu Tagawa, “Evolutionary Computation Techniques for the Optimum Design of Balanced Surface Acoustic Wave Filters” proc. in”, in Proc. of the 2008 IEEE International Ultrasonics, Ferroelectrics
  2. Guilling Huang, Qida Zhao, Luming Zhao” optimization of SAW transducer design by probabilistic global search lausanne”,Proc. in electromagnetic research symposium Hangzhou China, March 2008.
  3. S.N.Sivanandam, S.N.Deepa, “Introduction to Genetic Algorithms”, Springer-Verlag, Berlin, 2008.
  4. K. Tagawa, M. Masuoka, and M. Tsukamoto, “Robust optimum design of SAW filters with the Taguchi method and a memetic algorithm”, in Proc. of the 2005 IEEE Congress on Evolutionary Computation, pp.2146-2153.
  5. J. Meltaus, P. Hämäläinen, V. P. Plessky, and M. M. Salomaa, “Genetic optimization algorithms in the design of coupled SAW filters”, in Proc. of the 2004 IEEE Ultrasonics Symposium, pp. 1901-1904.
  6. K. Tagawa, T. Ohtani, T. Igaki, and S. Seki, “Robust optimization design of SAW filters by using penalty function method”, in Proc. of the 2004 IEEE International Conference on Industrial Technology, pp. 751-756.
  7. S. Goto and T. Kawakatsu, “Optimization of the SAW filter design by immune algorithm”, in Proc. of the 2004 IEEE International Ultrasonics, Ferroelectrics and Frequency Control Joint 50th Anniversary Conference, pp. 600-603.
  8. K. Tagawa, T. Yamamoto, T. Igaki, and S. Seki, “An Imanishian Genetic Algorithm for the Optimum Design of Surface Acoustic Wave Filter”, in Proc. of the 2003 Congress on Evolutionary Computation, v.4, pp. 2748-2755.
  9. Lee, Y., S. Lee, and Y. Roh, “Design of withdrawal-weighted SAW filters”, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Vol. 49, No. 3, 337-344, March 2002.
  10. K. Tagawa, K. Togunaka, H. Haneda, T. Igaki, and S. Seki, “Optimal design of three-IDT type SAW filter using local search”, in Proc. of the 2002 IEEE 28th Annual Conference of the Industrial Electronics Society, pp. 2572-2577.
  11. V. Prabhu, B. S. Panwar and Priyanka, “Linkage learning genetic algorithm for the design of withdrawal weighted SAW filters” , Proc. of IEEE Ultrasonics Symposium, pp. 357-360, 2002.
  12. K.-Y. Hashimoto, Surface Acoustic Wave Devices in Telecommunications: Modelling and Simulation, Springer-Verlag, Berlin, 2000.
  13. C. K. Campbell, Surface Acoustic Wave Devices for Mobile and Wireless Communications, Academic Press, 1998.
  14. J. Franz, C. C. W. Ruppel, F. Seifert and R. Weigel, “Hybrid optimization techniques for the design of SAW filters”, Proc. of IEEE Ultrasonics Symposium, 1997, pp. 33–36.
  15. C. C. W. Ruppel, A. A. Sachs, and F. J. Seifert, “A review of optimization algorithms for the design of SAW transducers”, in Proc. Of 1991 IEEE Ultrasonics Symposium, pp. 73-83.
  16. Rayleigh, L., On waves propagated along the plane surface of elastic solid," Proc. London Math. Society, Vol. 17, 4{11, 1885}.
Index Terms

Computer Science
Information Sciences

Keywords

surface acoustic wave (SAW) Filter Optimization Genetic Algorithm (GA) Inter-digital Transducer (IDT)