• DocumentCode
    1544736
  • Title

    VLSI architectures for turbo codes

  • Author

    Masera, Guido ; Piccinini, Gianluca ; Roch, Massimo Ruo ; Zamboni, Maurizio

  • Author_Institution
    Dipt. di Elettronica, Politecnico di Torino, Italy
  • Volume
    7
  • Issue
    3
  • fYear
    1999
  • Firstpage
    369
  • Lastpage
    379
  • Abstract
    A great interest has been gained in recent years by a new error-correcting code technique, known as "turbo coding", which has been proven to offer performance closer to the Shannon\´s limit than traditional concatenated codes. In this paper, several very large scale integration (VLSI) architectures suitable for turbo decoder implementation are proposed and compared in terms of complexity and performance; the impact on the VLSI complexity of system parameters like the state number, number of iterations, and code rate are evaluated for the different solutions. The results of this architectural study have then been exploited for the design of a specific decoder, implementing a serial concatenation scheme with 2/3 and 3/4 codes; the designed circuit occupies 35 mm/sup 2/, supports a 2 Mb/s data rate, and for a bit error probability of 10/sup -6/, yields a coding gain larger than 7 dB, with ten iterations.
  • Keywords
    CMOS digital integrated circuits; VLSI; decoding; digital signal processing chips; error correction codes; turbo codes; 2/3 code; 3/4 code; SISO architectures; VLSI architectures; VLSI complexity; bit error probability; code rate; error-correcting code technique; iterations number; serial concatenation scheme; state number; system parameters; turbo codes; turbo decoder implementation; very large scale integration; Circuits; Concatenated codes; Convolutional codes; Digital communication; Error correction codes; Error probability; Iterative algorithms; Iterative decoding; Turbo codes; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/92.784098
  • Filename
    784098