A novel filter design method based on greedy search and genetic algorithms

  • Authors:

  • Paul Faragó;Lelia Festilă;Sorin Hintea;Peter Söser;Gabor Csipkes;Doris Csipkes;Calin Ciufudean

  • Affiliations:

  • Department of Bases of Electronics, Technical University of Cluj-Napoca, Cluj-Napoca, Romania;Department of Bases of Electronics, Technical University of Cluj-Napoca, Cluj-Napoca, Romania;Department of Bases of Electronics, Technical University of Cluj-Napoca, Cluj-Napoca, Romania;Institute for Electronics, Graz University of Technology, Graz, Austria;Department of Bases of Electronics, Technical University of Cluj-Napoca, Cluj-Napoca, Romania;Department of Bases of Electronics, Technical University of Cluj-Napoca, Cluj-Napoca, Romania;"Stefan cel Mare" University, Suceava, Romania

  • Venue:
  • GAVTASC'11 Proceedings of the 11th WSEAS international conference on Signal processing, computational geometry and artificial vision, and Proceedings of the 11th WSEAS international conference on Systems theory and scientific computation
  • Year:
  • 2011

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Abstract

Recent advances in the mobile communication industries led to the present coexistence of a variety of wireless communication standards. In this context, multi-standard radios are the solution to provide connectivity over several different radio access interfaces. One important element in such radios is the channel select filter, which is reconfigurable in order to implement a desired transfer function. This article proposes a novel filter design technique which iteratively builds the filter transfer function by the successive addition of filter singularities. Which singularity is to be added is decided by greedy search, while the position of the singularity is computed with genetic algorithm. Simulation results prove the validity of the proposed design technique, demonstrating its potential in designing cheaper filters in comparison to traditional design approaches.