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Constructing short-length irregular LDPC codes with low error floor

机译:构造低错误底限的短长度不规则LDPC码

摘要

Trapping sets (TSs) are known to cause error floors in regular and irregular low-density parity-check (LDPC) codes. By avoiding major error-contributing TSs during the code construction process, codes with low error floors can effectively be built. In [14], it has been shown that TSs labeled as [w;u] are considered as being equivalent under the automorphism of the graph and are therefore contributing equally to the error floor. However, TSs with the same label [w;u] are not identical in general, particularly for the case of irregular LDPC codes. In this paper, we introduce a parameter e that can identify the number of "distinguishable" cycles in the connected subgraph induced by an elementary trapping set. Further, we propose a code construction algorithm, namely the Progressive-Edge-Growth Approximate-minimum- Cycle-Set-Extrinsic-message-degree (PEG-ACSE) method, that aims to avoid small elementary trapping sets (ETSs), particularly detrimental ETSs. We also develop theorems evaluating the minimum possible ETSs formed by PEG construction algorithms in general. We compare the characteristics of the codes built using the proposed method and those built using PEG-only or PEG-Approximate-minimum- Cycle-Extrinsic-message-degree (PEG-ACE) methods. Results from simulations show that the codes constructed using the proposed PEG-ACSE method produce lower error rates, particularly at the high signal-to-noise (SNR) region, compared with codes constructed using other PEG-based algorithms.
机译:已知陷阱集(TS)会导致规则和不规则的低密度奇偶校验(LDPC)码中出现错误基底。通过在代码构建过程中避免产生主要错误的TS,可以有效地构建错误级别较低的代码。在[14]中,已经表明标记为[w; u]的TS在图的自同构下被认为是等效的,因此对误差底的贡献相同。但是,具有相同标签[w; u]的TS通常不相同,特别是对于不规则LDPC码的情况。在本文中,我们引入了一个参数e,它可以标识由基本陷印集引起的连接子图中的“可区分”循环数。此外,我们提出了一种代码构造算法,即渐进边增长近似最小循环集外来消息度(PEG-ACSE)方法,旨在避免特别是有害的小基本陷阱集(ETS)。 ETS。我们还开发了定理,以评估通常由PEG构造算法形成的最小可能的ETS。我们比较了使用建议的方法构建的代码的特征和使用仅PEG或PEG近似最小循环外在消息度(PEG-ACE)方法构建的代码的特征。仿真结果表明,与使用其他基于PEG的算法构建的代码相比,使用拟议的PEG-ACSE方法构建的代码产生的错误率更低,尤其是在高信噪比(SNR)区域。

著录项

  • 作者

    Zheng X; Lau FCM; Tse CK;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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