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Performance Evaluation of Convolutional Turbo Codes in AWGN and ITU-R Channels

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Advances in Intelligent Computing (ICIC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3645))

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Abstract

In this paper, the performance of a non-binary convolutional turbo codes is evaluated through computer simulations. Especially, The influence of the various frame sizes and code rate are discussed. Also, in this paper the symbol-by-symbol MAX-Log-MAP algorithm is derived for this coding scheme. We present simulation results for the performance of the non-binary convolutional turbo coded system with QPSK, 16QAM, and 64QAM over an AWGN and the ITU-R channel models.

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Author information

Authors and Affiliations

  1. Mobile Telecommunication Research Division, ETRI, 161 Gajeong-dong Yuseong-gu, Daejeon, 305-350, Korea

    Seong Chul Cho & Jin Up Kim

  2. Department of Information and Communication Engineering, Seokyeong University, 16-1 Jungnung-dong, Sungbuk-gu, Seoul, 136-704, Korea

    Jae Sang Cha

  3. Department of Computer, and Communication Engineering, Chungbuk National University, 48 Gaeshin-dong, Cheongju-si, Chungcheongbuk-do, 361-763, Korea

    Kyoung Rok Cho

Authors
  1. Seong Chul Cho
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  2. Jin Up Kim
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  3. Jae Sang Cha
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  4. Kyoung Rok Cho
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Editor information

Editors and Affiliations

  1. Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, China

    De-Shuang Huang

  2. School of Computer & Information Technology, Beijing Jiaotong University, 100044, Beijing, P.R. China

    Xiao-Ping Zhang

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

    Guang-Bin Huang

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© 2005 Springer-Verlag Berlin Heidelberg

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Cho, S.C., Kim, J.U., Cha, J.S., Cho, K.R. (2005). Performance Evaluation of Convolutional Turbo Codes in AWGN and ITU-R Channels. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_72

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  • DOI: https://doi.org/10.1007/11538356_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28227-3

  • Online ISBN: 978-3-540-31907-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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