Optimal Design of PCS Ceramic Microwave Filters using the Differential Evolution Algorithm

Authors

  • Theodoros I. Kosmanis Department of Vehicles Engineering Alexandrion Technological and Educational Institute, Thessaloniki, PO Box 141, GR-57400, Greece
  • Ioannis T. Rekanos School of Electrical and Computer Engineering Aristotle University, Thessaloniki, GR-54124, Greece
  • Stelios P. Tsitsos Department of Computer Engineering Technological and Educational Institute of Central Macedonia, Serres, GR-62124, Greece

Keywords:

Evolutionary algorithm, microwave filter design, PCS

Abstract

The optimal geometrical design of a ceramic microwave filter according to the specifications of the downlink band of the PCS-1900 mobile communications protocol is investigated in this paper. An efficient combination of the Differential Evolution Algorithm and the Finite Element Method leads to the optimal values of four design parameters.

Downloads

Download data is not yet available.

References

A. F. Molisch, Wireless Communications, J. Wiley & Sons Ltd., 2005.

J. Kennedy and R. C. Eberhart, Swarm Intelligence, Morgan Kaufmann, 2001.

R. Storn and K. Price, “Differential evolution – A simple and efficient heuristic for global optimization over continuous space,” J. Global Optimization, vol. 11, pp. 341-359, 1997.

J. Robinson and Y. Rahmat-Samii, “Particle swarm optimization in electromagnetic,” IEEE Trans. Antennas Propagat., vol. AP-52, pp. 397-407, 2004.

S. Caorsi, M. Donelli, A. Lommi, and A. Massa, “Location and imaging of two-dimensional scatterers by using a particle swarm algorithm,” J. Electromagn. Waves Applicat., vol. 18, pp. 481- 494, 2004.

A. Qing, “Electromagnetic inverse scattering of multiple two-dimensional perfectly conducting objects by a differential evolution strategy,” IEEE Trans. Antennas Propagat., vol. AP-51, pp. 1251- 1262, 2003.

I. T. Rekanos and T. V. Yioultsis, “Convergence enhancement for the vector finite element modeling of microwaves and antennas via differential evolution,” AEÜ Int. J. Electron. Commun., vol. 60, pp. 428-434, 2006.

I. T. Rekanos, “Shape reconstruction of a perfectly conducting scatterer using differential evolution and particle swarm optimization,” IEEE Trans. Geosci. Remote Sens., vol. 46, pp. 1967-1974, 2008.

K. E. Parsopoulos and M. N. Vrahatis, “Recent approaches to global optimization problems through particle swarm optimization,” Natural Comput., vol. 1, pp. 235-306, 2002.

S. Tsitsos, A. A. P. Gibson, L. E. Davis, and Ι. Τ. Rekanos, “Design of a 3-pole PCS-type monoblock filter using an equivalent circuit approach,” AEÜ Int. J. Electron. Commun., vol. 60, pp. 638-646, 2006.

Ansoft High Frequency Structure Simulation (HFSS), ver. 10, Ansoft Corporation, Pittsburgh, PA, 2005.

S. R. H. Hoole, Computer-Aided Analysis and Design of Electromagnetic Devices, Elsevier, 1989.

P. Kyriazidis, S. Tsitsos, A. Kouiroukidis, and A. A. P. Gibson, “Equivalent circuit parameter extraction techniques for a PCS ceramic filter, using commercial electromagnetic software,” Proc. of the 36th European Microwave Conf., pp. 1159-1162, Manchester, UK, 2006.

S. Tsitsos, A. A. P. Gibson, and L. E. Davis, “A new technique for the extraction of equivalent circuit parameters from 3-D monoblock filters,” Int. Journal of RF and Microwave Computer-Aided Engineering, vol. 15, no. 2, pp. 210-217, 2005.

Downloads

Published

2021-08-18

How to Cite

[1]
T. I. . Kosmanis, I. T. . Rekanos, and S. P. . Tsitsos, “Optimal Design of PCS Ceramic Microwave Filters using the Differential Evolution Algorithm”, ACES Journal, vol. 31, no. 04, pp. 361–365, Aug. 2021.

Issue

Section

Articles