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Iterative reliability-based modified majority-logic decoding for structured binary LDPC codes

机译:基于迭代可靠性的结构化二进制LDPC码的修正多数逻辑解码

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摘要

In this paper, we present an iterative reliability-based modified majority-logic decoding algorithm for two classes of structured low-density parity-check codes. Different from the conventional modified one-step majority-logic decoding algorithms, we design a turbo-like iterative strategy to recover the performance degradation caused by the simply flipping operation. The main computational loads of the presented algorithm include only binary logic and integer operations, resulting in low decoding complexity. Furthermore, by introducing the iterative set, a very small proportion (less than 6%) of variable nodes are involved in the reliability updating process, which can further reduce the computational complexity. Simulation results show that, combined with the factor correction technique and a well-designed non-uniform quantization scheme, the presented algorithm can achieve a significant performance improvement and a fast decoding speed, even with very small quantization levels (3???4 bits resolution). The presented algorithm provides a candidate for trade-offs between performance and complexity.
机译:在本文中,我们针对两类结构化的低密度奇偶校验码提出了一种基于可靠性的迭代改进型多数逻辑解码算法。与传统的改进的一步式多数逻辑解码算法不同,我们设计了一种类似turbo的迭代策略,以恢复由简单翻转操作引起的性能下降。所提出算法的主要计算负荷仅包括二进制逻辑和整数运算,从而导致较低的解码复杂度。此外,通过引入迭代集,可靠性更新过程中会涉及很小一部分(小于6%)的变量节点,这可以进一步降低计算复杂度。仿真结果表明,结合因子校正技术和精心设计的非均匀量化方案,即使在很小的量化级别(3到4位)下,该算法也可以实现显着的性能提升和快速的解码速度。解析度)。提出的算法为性能和复杂性之间的折衷提供了一个候选。

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