• DocumentCode
    2905687
  • Title

    Comparative study of partitioned and parallel concatenated convolutional codes with puncturing

  • Author

    Soyjaud, K. M S ; Ramsawock, G.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Mauritius Univ., Reduit, Mauritius
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    212
  • Lastpage
    216
  • Abstract
    We design and implement the partitioned convolutional code (PCC) and the parallel-concatenated nonrecursive convolutional code (PCNCC). A comparison of the two codes is then carried out based on the following aspects: BER, encoder and decoder complexity, effective code rate, and throughput. It is shown that the PCNCC has identical error performance to the PCC but with less hardware complexity and a slightly higher effective code rate. Also, puncturing is used to increase the code rate of the PCNCC and computer simulation results show that the best PCNCC are those in which the component encoders are derived from the basic encoder
  • Keywords
    concatenated codes; convolutional codes; decoding; error statistics; BER; decoder complexity; effective code rate; encoder complexity; error performance; nonrecursive convolutional code; parallel concatenated convolutional codes; partitioned convolutional code; puncturing; throughput; Bit error rate; Computer errors; Computer simulation; Concatenated codes; Convolutional codes; Decoding; Delay effects; Error correction codes; Hardware; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Wireless Communications, 2000 IEEE International Conference on
  • Conference_Location
    Hyderabad
  • Print_ISBN
    0-7803-5893-7
  • Type

    conf

  • DOI
    10.1109/ICPWC.2000.905805
  • Filename
    905805