• DocumentCode
    1921000
  • Title

    FPGA implementation of high-speed parallel maximum a posteriori (MAP) decoders

  • Author

    Del Barco, Martín I. ; Maggio, Gabriel N. ; Morero, Damián A. ; Fernández, Javier ; Ramos, Facundo ; Carrer, Hugo S. ; Hueda, Mario R.

  • Author_Institution
    Digital Commun. Res. Lab., Nat. Univ. of Cordoba, Cordoba, Argentina
  • fYear
    2009
  • fDate
    1-2 Oct. 2009
  • Firstpage
    98
  • Lastpage
    102
  • Abstract
    This paper presents an efficient parallel architecture for high-speed maximum a posteriori (MAP) probability detectors. The parallel systolic scheme proposed here builds upon a sliding window approach, and is capable of providing very high throughput. The implementation of an 8-state MAP decoder on an off-the-shelf field programmable gate array (FPGA) achieves a throughput of 1.6 Gb/s. The MAP detector is well-known as the optimal solution to minimize the bit-error-rate (BER). Moreover, when used for equalization on iterative detectors (i.e., turbo equalizers), the MAP algorithm can achieve a performance near Shannon´s channel capacity. Thus, the scheme described in this work results highly attractive to efficiently mitigate channel impairments found on high-speed optical fiber systems and other high speed communication applications.
  • Keywords
    field programmable gate arrays; maximum likelihood estimation; optical fibre communication; parallel architectures; probability; FPGA; bit-error-rate; equalization; field programmable gate array; optical fiber systems; parallel architecture; parallel maximum a posteriori decoders; parallel systolic scheme; probability detectors; BCJR; FPGA; Iterative decoding; MAP; turbo equalization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Micro-Nanoelectronics, Technology and Applications, 2009. EAMTA 2009. Argentine School of
  • Conference_Location
    San Carlos de Bariloche
  • Print_ISBN
    978-1-4244-4835-7
  • Electronic_ISBN
    978-9-8725-1029-9
  • Type

    conf

  • Filename
    5288890