• DocumentCode
    2674183
  • Title

    Performance evaluation of a Turbo Codec with Log-MAP algorithm on FPGA and CPU

  • Author

    Moncayo, Hector Ivan Reyes ; Kaabouch, Naima ; Hu, Wen-Chen ; Wang, Anlei

  • Author_Institution
    Electr. Eng. Dept., Univ. of North Dakota, Grand Forks, ND, USA
  • fYear
    2011
  • fDate
    15-17 May 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    It has been demonstrated that transmission systems using Turbo codes can achieve performance close to the Shannon limit. Although these codes were introduced two decades ago, their hardware implementations are still challenging because of the complexity of their equations. This paper presents a Field Programmable Gate Array-based implementation of a Turbo Codec system. This system includes an encoder and a decoder based on the Log-MAP algorithm. The implementation is simulated using ModelSim software and the results are compared to the results of the software-based implementation. These results show that the FPGA-based Turbo Codec is able to estimate correctly the information sequence; therefore its BER performance is comparable to the software-based implementation. However, the results of the comparison also show that the FPGA-based system is faster and consumes less energy that the software-based system.
  • Keywords
    codecs; error statistics; field programmable gate arrays; maximum likelihood estimation; performance evaluation; turbo codes; BER performance; CPU; FPGA; ModelSim software; Shannon limit; field programmable gate array-based implementation; information sequence; log-MAP algorithm; performance evaluation; software-based implementation; transmission systems; turbo codec system; Algorithm design and analysis; Decoding; Field programmable gate arrays; MATLAB; Mathematical model; Mixers; Turbo codes; FPGA; Log-MAP; Processor; Turbo Codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology (EIT), 2011 IEEE International Conference on
  • Conference_Location
    Mankato, MN
  • ISSN
    2154-0357
  • Print_ISBN
    978-1-61284-465-7
  • Type

    conf

  • DOI
    10.1109/EIT.2011.5978619
  • Filename
    5978619