IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v12y2016i2p8906985.html
   My bibliography  Save this article

Optimization of LDPC Codes over the Underwater Acoustic Channel

Author

Listed:
  • Shengxing Liu
  • Aijun Song

Abstract

To combat severe intersymbol interference incurred by multipath propagation of sound waves in the underwater acoustic environment, we introduce an iterative equalization and decoding scheme by iteratively exchanging soft information between a low-density parity check (LDPC) decoder and a decision feedback equalizer. We apply extrinsic information transfer (EXIT) charts to analyze performance of LDPC codes over the acoustic multipath channel. Furthermore, using differential evolution technique, we develop an EXIT-aided method to optimize LDPC codes for the underwater acoustic channel. Design examples are presented for two different realizations of the underwater acoustic channel that are generated by an acoustic ray tracing model. Computer simulations show that the optimized LDPC codes outperform its regular counterpart or Turbo codes under the same coding rate and block length, with gains of 1.0 and 0.8 dB, respectively, at the bit error rate of 10 −5 .

Suggested Citation

  • Shengxing Liu & Aijun Song, 2016. "Optimization of LDPC Codes over the Underwater Acoustic Channel," International Journal of Distributed Sensor Networks, , vol. 12(2), pages 8906985-890, February.
  • Handle: RePEc:sae:intdis:v:12:y:2016:i:2:p:8906985
    DOI: 10.1155/2016/8906985
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2016/8906985
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2016/8906985?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:12:y:2016:i:2:p:8906985. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.