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High throughput low power decoder architectures for low density parity check codes.

机译:用于低密度奇偶校验码的高吞吐量低功耗解码器体系结构。

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A high throughput scalable decoder architecture, a tiling approach to reduce the complexity of the scalable architecture, and two low power decoding schemes have been proposed in this research. The proposed scalable design is generated from a serial architecture by scaling the combinational logic; memory partitioning and constructing a novel H matrix to make parallelization possible. The scalable architecture achieves a high throughput for higher values of the parallelization factor M. The switch logic used to route the bit nodes to the appropriate checks is an important constituent of the scalable architecture and its complexity is high with higher M. The proposed tiling approach is applied to the scalable architecture to simplify the switch logic and reduce gate complexity.; The tiling approach generates patterns that are used to construct the H matrix by repeating a fixed number of those generated patterns. The advantages of the proposed approach are two-fold. First, the information stored about the H matrix is reduced by one-third. Second, the switch logic of the scalable architecture is simplified. The H matrix information is also embedded in the switch and no external memory is needed to store the H matrix.; Scalable architecture and tiling approach are proposed at the architectural level of the LDPC decoder. We propose two low power decoding schemes that take advantage of the distribution of errors in the received packets. Both schemes use a hard iteration after a fixed number of soft iterations. The dynamic scheme performs X soft iterations, then a parity checker cH T that computes the number of parity checks in error. Based on cH T value, the decoder decides on performing either soft iterations or a hard iteration. The advantage of the hard iteration is so significant that the second low power scheme performs a fixed number of iterations followed by a hard iteration. To compensate the bit error rate performance, the number of soft iterations in this case is higher than that of those performed before cHT in the first scheme.
机译:本研究提出了一种高吞吐量的可伸缩解码器体系结构,一种可降低可伸缩体系结构复杂性的拼接方法以及两种低功耗解码方案。拟议的可扩展设计是通过缩放组合逻辑从串行体系结构生成的。存储分区并构造一个新颖的H矩阵以使并行化成为可能。可伸缩的体系结构为较高的并行化因子M值实现了高吞吐量。用于将位节点路由到适当检查的交换逻辑是可伸缩体系结构的重要组成部分,并且在M较高的情况下其复杂性也很高。应用于可扩展架构,以简化开关逻辑并降低门的复杂性。切片方法通过重复固定数量的生成模式来生成用于构建H矩阵的模式。所提出的方法的优点是双重的。首先,存储的有关H矩阵的信息减少了三分之一。其次,简化了可伸缩体系结构的交换逻辑。 H矩阵信息也嵌入在交换机中,不需要外部存储器来存储H矩阵。在LDPC解码器的体系结构级别上提出了可伸缩的体系结构和切片方法。我们提出了两种低功耗解码方案,它们利用了接收数据包中错误的分布。在固定数量的软迭代之后,这两种方案都使用硬迭代。动态方案执行X次软迭代,然后执行奇偶校验器cH T,计算错误的奇偶校验次数。解码器基于cH T值决定执行软迭代还是硬迭代。硬迭代的优势非常明显,以至于第二种低功耗方案执行了固定次数的迭代,然后进行了硬迭代。为了补偿误码率性能,这种情况下的软迭代次数要高于第一种方案中cHT之前的软迭代次数。

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