• DocumentCode
    1116383
  • Title

    Performance enhancement using forward error correction on power line communication channels

  • Author

    Chan, Morgan H.L. ; Friedman, David ; Donaldson, Robort W.

  • Author_Institution
    Bell-Northern Res., Ottawa, Ont., Canada
  • Volume
    9
  • Issue
    2
  • fYear
    1994
  • fDate
    4/1/1994 12:00:00 AM
  • Firstpage
    645
  • Lastpage
    653
  • Abstract
    The use of forward error correction (FEC) coding is investigated, to enhance communication throughput and reliability on noisy power line networks. Rate one-half self-orthogonal convolutional codes are considered. These codes are known to be effective in other environments, and can be decoded inexpensively in real-time using majority logic decoders. Extensive bit and packet error rate tests were conducted on actual, noisy in-building power line links. Coding gains of 15 dB were observed at 10-3 decoded bit error rates. A self-orthogonal (2, 1, 6) convolutional code with interleaving to degree 7 was particularly effective, and was implemented as a VLSI microelectronic chip. Its use improved data throughput and packet error rates substantially, at data transmission rates of 9,600 bits/s
  • Keywords
    building wiring; carrier transmission on power lines; convolutional codes; distribution networks; error correction codes; packet switching; power system computer control; power system reliability; telecommunication channels; VLSI; bit rate; coding gains; data throughput; data transmission rates; forward error correction; majority logic decoders; noisy power line networks; packet error rate; performance enhancement; power line communication channels; rate one-half self-orthogonal convolutional codes; real-time; reliability; Convolutional codes; Decoding; Error analysis; Forward error correction; Gain; Logic; Telecommunication network reliability; Testing; Throughput; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.296240
  • Filename
    296240