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Low-Complexity Memory Access Architectures for Quasi-Cyclic LDPC Decoders

机译:准循环LDPC解码器的低复杂度存储器访问架构

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Partially parallel decoding architectures are widely used in the design of low-density parity-check (LDPC) decoders, especially for quasi-cyclic (QC) LDPC codes. To comply with the code structure of parity-check matrices of QC-LDPC codes, many small memory blocks are conventionally employed in this architecture. The total memory area usually dominates the area requirement of LDPC decoders. This paper proposes a low-complexity memory access architecture that merges small memory blocks into memory groups to relax the effect of peripherals in small memory blocks. A simple but efficient algorithm is also presented to handle the additional delay elements introduced in the memory merging method. Experiment results on a rate-1/2 parity-check matrix defined in the IEEE 802.16e standard show that the LDPC decoder designed using the proposed memory access architecture has the lowest area complexity among related studies. Compared to a design with the same specifications, the decoder implemented using the proposed architecture requires 33% fewer gates and is more power-efficient. The proposed new memory access architecture is thus suitable for the design of low-complexity LDPC decoders.
机译:部分并行解码架构被广泛用于低密度奇偶校验(LDPC)解码器的设计中,尤其是对于准循环(QC)LDPC码。为了符合QC-LDPC码的奇偶校验矩阵的代码结构,在此体系结构中通常采用许多小存储块。总存储区域通常占LDPC解码器的区域要求。本文提出了一种低复杂度的内存访问架构,该架构将小型内存块合并为内存组,以减轻小型内存块中外围设备的影响。还提出了一种简单但有效的算法来处理在内存合并方法中引入的其他延迟元素。在IEEE 802.16e标准中定义的速率1/2奇偶校验矩阵上的实验结果表明,使用相关存储器访问架构设计的LDPC解码器在相关研究中具有最低的区域复杂度。与具有相同规格的设计相比,使用建议的体系结构实现的解码器所需的门数减少了33%,并且具有更高的电源效率。因此,提出的新的存储器访问架构适合于低复杂度LDPC解码器的设计。

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