• DocumentCode
    605484
  • Title

    FPGA implementation of genetic algorithm for dynamic filter-bank-based multicarrier systems

  • Author

    Sehatbakhsh, N. ; Aliasgari, M. ; Fakhraie, S. Mehdi

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
  • fYear
    2013
  • fDate
    26-28 March 2013
  • Firstpage
    72
  • Lastpage
    77
  • Abstract
    This paper presents FPGA implementation of a genetic algorithm based canonical signed digit (CSD) synthesizer for a dynamic filter-bank-based multicarrier system which employs a regular prototype filter with a certain specification. Using Genetic Algorithm, the proposed system searches for the best coefficients of prototype filter in CSD format for the filter bank based multicarrier (FBMC) system. The system is reconfigurable so that filter characteristics (number of coefficients) and their precisions (number of bits) for each coefficient can be set dynamically. Finally, the design is entirely implemented on a field programmable gate array (FPGA) chip. Simulations and synthesis results are obtained to show the merit of the proposed design. Results demonstrate that the system needs less than one second to provide desired filter coefficients when a prototype filter with 64 coefficients is employed.
  • Keywords
    field programmable gate arrays; filters; genetic algorithms; CSD synthesizer; FBMC system; FPGA; canonical signed digit synthesizer; dynamic filter-bank; field programmable gate array; filter bank based multicarrier; genetic algorithm; prototype filter; Approximation methods; Biological cells; Filter banks; Filtering algorithms; Finite impulse response filters; Genetic algorithms; Prototypes; FPGA implementation; canonical signed digit; filter bank based multicarrier system; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design & Technology of Integrated Systems in Nanoscale Era (DTIS), 2013 8th International Conference on
  • Conference_Location
    Abu Dhabi
  • Print_ISBN
    978-1-4673-6039-5
  • Electronic_ISBN
    978-1-4673-6038-8
  • Type

    conf

  • DOI
    10.1109/DTIS.2013.6527781
  • Filename
    6527781