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Deriving Good LDPC Convolutional Codes from LDPC Block Codes

机译:从LDPC分组码中得出良好的LDPC卷积码

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Low-density parity-check (LDPC) convolutional codes are capable of achieving excellent performance with low encoding and decoding complexity. In this paper, we discuss several graph-cover-based methods for deriving families of time-invariant and time-varying LDPC convolutional codes from LDPC block codes and show how earlier proposed LDPC convolutional code constructions can be presented within this framework. Some of the constructed convolutional codes significantly outperform the underlying LDPC block codes. We investigate some possible reasons for this “convolutional gain,” and we also discuss the—mostly moderate—decoder cost increase that is incurred by going from LDPC block to LDPC convolutional codes.
机译:低密度奇偶校验(LDPC)卷积码能够以较低的编码和解码复杂度实现出色的性能。在本文中,我们讨论了几种基于图覆盖的方法,这些方法可从LDPC块码中推导出时不变和时变的LDPC卷积码族,并展示如何在此框架内提出较早提出的LDPC卷积码构造。一些构造的卷积码明显优于基础的LDPC块码。我们研究了这种“卷积增益”的一些可能原因,并且我们还讨论了从LDPC块到LDPC卷积码导致的(大部分为中度的)解码器成本增加。

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