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A Comparative Simulation Study on the Performance of LDPC Codes and 3Dimensional Turbo Codes

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Advanced Information Technology, Services and Systems (AIT2S 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 25))

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Abstract

Low-density parity-check (LDPC) codes and convolutional Turbo codes are two of the most powerful error correcting codes that are widely used in modern communication systems. This paper provides an overview of the basic concepts employed in LDPC codes and convolutional Turbo codes with 3 dimensions, and compare the performance of these codes. A description of both classes of codes will be given. The LDPC codes and 3 dimensional turbo code are coupled with receive diversity techniques and are employed as the error correction scheme over Additive White Gaussian Channels (AWGN) by employing Binary Phase Shift Keying (BPSK) modulation scheme. The performance of newly obtained codes is evaluated in term of bit error rate (BER) for a given value of Eb/No.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Sciences, El Jadida, Morocco

    Mensouri Mohammed, Aaroud Abdessadek & El Hore Ali

Authors
  1. Mensouri Mohammed
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  2. Aaroud Abdessadek
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  3. El Hore Ali
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Correspondence to Mensouri Mohammed .

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Editors and Affiliations

  1. Faculty of Sciences and Technologies, Tangier, Morocco

    Mostafa Ezziyyani

  2. Faculty of Sciences and Technologies, University Hassan 1st, Settat, Morocco

    Mohamed Bahaj

  3. Faculty of Sciences and Technologies, Mohammedia, Morocco

    Faddoul Khoukhi

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Mohammed, M., Abdessadek, A., Ali, E.H. (2018). A Comparative Simulation Study on the Performance of LDPC Codes and 3Dimensional Turbo Codes. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds) Advanced Information Technology, Services and Systems. AIT2S 2017. Lecture Notes in Networks and Systems, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-69137-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-69137-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69136-7

  • Online ISBN: 978-3-319-69137-4

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