• DocumentCode
    691802
  • Title

    A Method of Parameters Estimation of SCCC Turbo Code

  • Author

    Dan Li ; Lu Gan

  • Author_Institution
    Sch. of Electron. Eng., UESTC, Chengdu, China
  • fYear
    2013
  • fDate
    21-22 Dec. 2013
  • Firstpage
    5
  • Lastpage
    9
  • Abstract
    The serial concatenated convolutional code (SCCC) structure of Turbo code shows excellent decoding performance in the region of moderate-to-high signal-noise-ratio (SNR), which has been widely applied to many fields, such as deep space communication and so on. So, the recognition of SCCC turbo code is very important in the cognitive radio and information interception. We firstly estimated the parameters of outer encoder by Gaussian elimination and Euclidean algorithm. Then, the proposed method exploits the invariance property between the original data and interleaved data. Parameters of interleaver can be estimated easily by calculating the correlation between the check bits and the data. The computer simulations show that the proposed method has good performance when errors exist in the interception data.
  • Keywords
    Gaussian distribution; cognitive radio; concatenated codes; convolutional codes; decoding; space communication links; turbo codes; Euclidean algorithm; Gaussian elimination; SCCC structure; SCCC turbo code; SNR; cognitive radio; decoding; deep space communication; information interception; interception data; invariance property; moderate-to-high signal-noise-ratio; parameter estimation; serial concatenated convolutional code; Complexity theory; Convolutional codes; Decoding; Educational institutions; Estimation; Generators; Turbo codes; SCCC (serial concatenated convolutional code) parameter estimation; Turbo code; channel coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2013 IEEE 11th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-3380-8
  • Type

    conf

  • DOI
    10.1109/DASC.2013.29
  • Filename
    6844329