• DocumentCode
    2043791
  • Title

    Optimizing the rate 1/2; convolutional code for OFDM applications in terms of bit-error-rate and Peak-to-Average Power Ratio

  • Author

    Vallavaraj, Athinarayanan ; Brian, G.S. ; David, K.H. ; Francis, G.M.

  • Author_Institution
    Caledonian Coll. of Eng., Muscat, Oman
  • fYear
    2006
  • fDate
    20-22 March 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper the performance of different convolutional code generator polynomials with constraint length 7 is examined in relation to OFDM transmissions. The performance is evaluated in terms to Bit Error Rate (BER) in white Gaussian noise and Peak-to-Average Power Ratio (PAPR). It is shown that convolutional codes with identical generator polynomials result in very poor BER performance, however surprisingly, identical polynomial combinations seem to possess the advantage of reducing slightly the PAPR. The standard convolution code (7, [171, 133]), commonly used in wireless systems, is shown to possess reasonably good BER and similar PAPR performance in comparison to other non-identical polynomial codes, but possesses a slightly higher average PAPR when compared to identical generator polynomial combinations.
  • Keywords
    Gaussian noise; OFDM modulation; convolutional codes; error statistics; optimisation; polynomials; BER; OFDM applications; OFDM transmissions; PAPR; bit-error-rate; convolutional code generator polynomials; identical generator polynomial combinations; identical generator polynomials; identical polynomial combinations; non-identical polynomial codes; peak-to-average power ratio; white Gaussian noise; wireless systems; Bit error rate; Convolution; Convolutional codes; Generators; Peak to average power ratio; Polynomials; Convolution coding; Forward Error Correction; OFDM; Peak Ratio; Peak-to-average power ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GCC Conference (GCC), 2006 IEEE
  • Conference_Location
    Manama
  • Print_ISBN
    978-0-7803-9590-9
  • Electronic_ISBN
    978-0-7803-9591-6
  • Type

    conf

  • DOI
    10.1109/IEEEGCC.2006.5686258
  • Filename
    5686258