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Optimal Search for Girth-8 Quasi Cyclic and Spatially Coupled Multiple-Edge LDPC Codes

机译:Girth-8准循环和空间耦合的多边LDPC码的最佳搜索

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Two essential categories of LDPC codes that are more preferable to other types are quasi-cyclic LDPC (QC-LDPC) codes and spatially coupled LDPC convolutional codes (SC-LDPC-CCs) because of their excellent performance curves in waterfall and error floor regions. An efficient approach to construct these codes is protograph-based method that is categorized into two classes: single-edge (SE) and multiple-edge (ME) protographs. We, for the first time, provide a necessary and sufficient condition for exponent matrices of these codes with girth-8 and based on the ME-protographs. As a result, a lower bound on the lifting degree of girth-8 ME-QC-LDPC codes and a lower bound on the syndrome former memory order of girth-8 ME-SC-LDPC-CCs are obtained, which are tighter than the existing bounds in the literature.
机译:LDPC码比其他类型更重要的两个基本类别是准循环LDPC(QC-LDPC)码和空间耦合LDPC卷积码(SC-LDPC-CC),这是因为它们在瀑布和错误底限区域中的出色性能曲线。构造这些代码的有效方法是基于原型的方法,该方法分为两类:单边缘(SE)和多边缘(ME)原型。我们首次基于ME-protograph为周长为8的这些代码的指数矩阵提供了充要条件。结果,获得了周长8 ME-QC-LDPC码的提升度的下限和周长8 ME-SC-LDPC-CC的校正子前存储顺序的下限,它们比现有的界限。

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