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    Performance Analysis of Verification-Based Decoding for Packet-Based LDPC Codes overBinary Symmetric Channel

    135083_135083.pdf (146.4Kb)
    Access Status
    Open access
    Authors
    Zhu, B.
    Huang, D.
    Nordholm, Sven
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Zhu, B. and Huang, D. and Nordholm, Sven. 2009. Performance Analysis of Verification-Based Decoding for Packet-Based LDPC Codes overBinary Symmetric Channel, in Akhavan, H. (ed), IEEE Communications Conference 2009, Jun 14 2009. Dresden Germany: IEEE Communications Society.
    Source Title
    Proceedings IEEE Communications Conference 2009
    Source Conference
    IEEE Communications Conference 2009
    Additional URLs
    http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5199318
    Faculty
    Department of Electrical and Computer Engineering
    School of Engineering
    Faculty of Science and Engineering
    Remarks

    Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/33409
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we propose a statistical model to analyze the performance of verification-based algorithm (VA) for packet-based low-density parity-check (LDPC) codes over binary symmetric channel (BSC). In contrast to the analysis of VA in the literature, we propose to take the false verification into consideration. For a given ensemble of LDPC codes and channel parameters, the proposed analysis model gives an efficient way to find the average performance of packet-based LDPC codes with verification-based decoding. Through numerical results, we find that the proposed method can provide a close estimation of frame error rate (FER) for packet-based LDPC codes with verification based decoding over BSC for all crossover probabilities of practical interests.

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