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Construction of Rate (n — 1 ) Non-Binary LDPC Convolutional Codes via Difference Triangle Sets

机译:通过差分三角集构造速率(n_1)/ n非二进制LDPC卷积码

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This paper provides a construction of non-binary LDPC convolutional codes, which generalizes the work of Robinson and Bernstein. The sets of integers forming an (n - 1,w)- difference triangle set are used as supports of the columns of rate (n — 1) convolutional codes. If the field size is large enough, the Tanner graph associated to the sliding parity-check matrix of the code is free from 4 and 6-cycles not satisfying the full rank condition. This is important for improving the performance of a code and avoiding the presence of low-weight codewords and absorbing sets. The parameters of the convolutional code are shown to be determined by the parameters of the underlying difference triangle set. In particular, the free distance of the code is related to w and the degree of the code is linked to the "scope" of the difference triangle set. Hence, the problem of finding families of difference triangle set with minimum scope is equivalent to find convolutional codes with small degree.
机译:本文提供了一种非二进制LDPC卷积码的结构,它概括了Robinson和Bernstein的工作。形成(n-1,w)-个差三角形集的整数集用作速率(n-1)/ n卷积码列的支持。如果字段大小足够大,则与代码的滑动奇偶校验矩阵关联的Tanner图将不存在不满足满秩条件的4个和6个周期。这对于提高代码性能并避免出现轻量代码字和吸收集很重要。卷积码的参数显示为由基础差三角形集合的参数确定。尤其是,代码的自由距离与w有关,代码的程度与差三角形集合的“范围”相关联。因此,找到具有最小范围的差三角形集的族的问题等效于找到小度的卷积码。

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