• DocumentCode
    3663471
  • Title

    Optimized quantization and scaling of layered LDPC scaled min-sum decoder

  • Author

    Ahmed A. Emran;Maha Elsabrouty;Osamu Muta;Hiroshi Furukawa

  • Author_Institution
    Egypt-Japan University of Science and Technology (E-JUST), New Borg Al-Arab, Alexandria, Egypt
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    2668
  • Lastpage
    2672
  • Abstract
    In this paper, we apply an efficient scaling strategy on layered scaled min-sum LDPC decoder. In addition, we propose a joint optimization strategy for the quantization and scaling parameters of layered scaled min-sum LDPC decoder. The study of our optimization results, for DVB-S2 LDPC codes with different constellation sizes and code rates, shows that each constellation size code rate pair has different optimal scaling and quantization parameters. In order to maximize the achievable performance, we propose using the different scaling and quantization parameters for each constellation size code rate pair. The simulation results show the performance improvement of separately using optimal scaling parameters or optimal quantization parameters, and the overall performance enhancement of using both optimal scaling and quantization parameters.
  • Keywords
    "Quantization (signal)","Decoding","Binary phase shift keying","Optimization","Digital video broadcasting","Iterative decoding"
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2015 IEEE International Symposium on
  • Electronic_ISBN
    2157-8117
  • Type

    conf

  • DOI
    10.1109/ISIT.2015.7282940
  • Filename
    7282940