• DocumentCode
    1476924
  • Title

    A new scalable VLSI architecture for Reed-Solomon decoders

  • Author

    Wilhelm, Wolfgang

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Syst., Univ. of Technol., Aachen, Germany
  • Volume
    34
  • Issue
    3
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    388
  • Lastpage
    396
  • Abstract
    A very-large-scale integration architecture for Reed-Solomon (RS) decoding is presented that is scalable with respect to the throughput rate. This architecture enables given system specifications to be matched efficiently independent of a particular technology. The scalability is achieved by applying a systematic time-sharing technique. Based on this technique, new regular, multiplexed architectures have been derived for solving the key equation and performing finite field divisions. In addition to the flexibility, this approach leads to a small silicon area in comparison with several decoder implementations published in the past. The efficiency of the proposed architecture results from a fine granular pipeline scheme throughout each of the RS decoder components and a small overhead for the control circuitry. Implementation examples show that due to the pipeline strategy, data rates up to 1.28 Gbit/s are reached in a 0.5 μm CMOS technology
  • Keywords
    CMOS digital integrated circuits; Reed-Solomon codes; VLSI; decoding; digital signal processing chips; multiplexing; parallel architectures; pipeline processing; 0.5 micron; 1.28 Gbit/s; RS decoding; Reed-Solomon decoders; Si; fine granular pipeline scheme; finite field divisions; regular multiplexed architectures; scalable VLSI architecture; submicron CMOS technology; throughput rate; time-sharing technique; very-large-scale integration; CMOS technology; Decoding; Equations; Galois fields; Pipelines; Reed-Solomon codes; Scalability; Throughput; Time sharing computer systems; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/4.748191
  • Filename
    748191