首页> 外文会议>Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE >Efficient Algorithms to Find All Small Error-Prone Substructures in LDPC Codes
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Efficient Algorithms to Find All Small Error-Prone Substructures in LDPC Codes

机译:查找LDPC码中所有小的错误码子结构的高效算法

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Exhaustively enumerating all small error-prone substructures in arbitrary, finite-length low- density parity-check (LDPC) codes has been proven to be NP-complete. In this paper, we present two exhaustive search algorithms to find such small error-prone substructures of an arbitrary LDPC code given its parity-check matrix. One algorithm is guaranteed to find all error-prone substructures including stopping sets, trapping sets, and absorbing sets, which have no more than $a_{max}$ variable nodes and up to $b_{max}$ induced odd- degree neighboring check nodes. The other algorithm is specially designed to find fully absorbing sets (FAS). Numerical results show that both of our proposed algorithms are more efficient in terms of execution time than another recently proposed exhaustive search algorithm. Moreover, by properly initialization of the algorithm, the efficiency can be further improved for quasi-cyclic (QC) codes.
机译:事实证明,用任意的有限长度的低密度奇偶校验(LDPC)码穷举所有容易出错的小子结构都是NP完全的。在本文中,我们给出了两种详尽的搜索算法,以在给定奇偶校验矩阵的情况下找到任意LDPC码如此小的易错子结构。保证一种算法可以找到所有容易出错的子结构,包括停止集,陷阱集和吸收集,它们的不超过$ a_ {max} $个变量节点和不超过$ b_ {max} $个引起的奇数邻域校验节点。另一种算法专门设计用于查找完全吸收集(FAS)。数值结果表明,在执行时间方面,我们提出的两种算法都比最近提出的另一种穷举搜索算法更有效率。此外,通过适当地初始化算法,可以进一步提高准循环(QC)码的效率。

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