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Matrix Merging Scheme and Efficient Decoding Techniques for Reconfigurable QC-LDPC Decoders

机译:可重构QC-LDPC解码器的矩阵合并方案和高效解码技术

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Many recent reconfigurable/multi-mode quasi-cyclic low density parity check (QC-LDPC) decoder designs have shown appealing implementation results in the literature. However, most of them are based on datapath multiplexing techniques with ad hoc matrix arrangement. There is still room for further interconnection reduction, throughput enhancement, and a more sophisticated early termination scheme. In this paper, we will focus on these issues and present a twolevel design approach, which optimizes the design at (1) matrix merging level, and (2) module design level. First, direct multiplexing datapaths between multiple modes leads to great overhead on wiring complexity. In order to mitigate this problem, we merge multiple parity check matrices by proposing an efficient algorithm at matrix merging level, which helps to minimize multiplexer and wiring overhead. Second, for efficient decoding issues, we propose two design techniques at module design level. One is data wrapping scheme. It enhances the decoding throughput by using the data-wrapped memory with the proposed reconfigurable data-switching circuits (R-DSC) to conquer the data alignment problem and achieve multi-mode reconfigurability. The other is the adaptive early termination (AET) scheme. It can save the unnecessary decoding procedures under both high-SNR and lowSNR regions. Finally, to verify our design approach, we implement a triple-mode LDPC decoder chip which is compatible to IEEE 802.1 In standard by using UMC 90 nm CMOS technology. This chip only occupies 3.32 mm2 and features high core utilization up to 70% with low power dissipation of 135.3 mW. The prototyping chip not only validates the proposed approach, but also outperforms the state-of-the-art QC-LDPC decoders for IEEE 802.11n systems.
机译:许多最新的可重配置/多模式准循环低密度奇偶校验(QC-LDPC)解码器设计在文献中已显示出有吸引力的实现结果。但是,它们中的大多数是基于具有ad hoc矩阵排列的数据路径复用技术。仍有进一步减少互连,提高吞吐量和更复杂的早期终止方案的空间。在本文中,我们将重点关注这些问题,并提出一种两级设计方法,该方法可在(1)矩阵合并级别和(2)模块设计级别优化设计。首先,多种模式之间的直接多路复用数据路径导致布线复杂性的巨大开销。为了减轻这个问题,我们通过在矩阵合并级别上提出一种有效的算法来合并多个奇偶校验矩阵,这有助于最小化多路复用器和布线开销。其次,对于有效的解码问题,我们在模块设计级别提出了两种设计技术。一种是数据包装方案。通过将数据封装的存储器与建议的可重配置数据交换电路(R-DSC)结合使用,可以克服数据对齐问题并实现多模式可重配置性,从而提高解码吞吐量。另一个是自适应早期终止(AET)方案。它可以在高SNR和低SNR区域中节省不必要的解码过程。最后,为了验证我们的设计方法,我们使用UMC 90 nm CMOS技术实现了与IEEE 802.1 In标准兼容的三模式LDPC解码器芯片。该芯片仅占3.32 mm2,具有高达70%的高内核利用率和135.3 mW的低功耗。原型芯片不仅验证了所提出的方法,而且还超越了IEEE 802.11n系统的最新QC-LDPC解码器。

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