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A comparative study of Min-Sum based decoding algorithms for Low Density Parity Check codes.

机译:基于最小和的低密度奇偶校验码解码算法的比较研究。

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摘要

The demand for large scale broadband networks is gaining immense popularity for convenient access of information. A common concern of transmitting data through a wireless medium is the effects of noise on the signal. Maintaining the reliability of the data becomes crucial. Employing Low Density Parity Check (LDPC) codes specified by the IEEE 802.16e (WiMAX) standard simplifies the encoding and decoding structure within a digital communication system, making it attractive for the premise of this study.;The focus of the study is to develop LDPC decoding algorithms that require a simple decoding structure. All examined decoding algorithms are based on an approximation of the Belief Propagation (BP) decoding algorithm known as Min-Sum (MS) and Min-Sum based decoding. For this study, three new Min-Sum based decoding algorithms will be proposed and compared to three existing MS based decoding algorithms through software simulations. The objective of each proposed MS based decoding algorithm is to further simplify the decoding structure of already existing Min-Sum based decoding algorithms.
机译:为了方便地访问信息,对大规模宽带网络的需求正变得越来越普及。通过无线介质传输数据的常见问题是噪声对信号的影响。保持数据的可靠性至关重要。采用IEEE 802.16e(WiMAX)标准指定的低密度奇偶校验(LDPC)代码可简化数字通信系统中的编码和解码结构,使其成为本研究的前提。该研究的重点是开发需要简单解码结构的LDPC解码算法。所有检查的解码算法均基于称为最小和(MS)和基于最小和的解码的信度传播(BP)解码算法的近似值。对于本研究,将提出三种新的基于最小和的解码算法,并通过软件仿真将其与三种现有的基于MS的解码算法进行比较。每个提出的基于MS的解码算法的目的是进一步简化已经存在的基于最小和的解码算法的解码结构。

著录项

  • 作者

    Shah, Dhaval.;

  • 作者单位

    Lakehead University (Canada).;

  • 授予单位 Lakehead University (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.Sc.Eng.
  • 年度 2010
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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