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An Efficient List Decoder Architecture for Polar Codes

机译:极性码的高效列表解码器架构

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Long polar codes can achieve the symmetric capacity of arbitrary binary-input discrete memoryless channels under a low-complexity successive cancelation (SC) decoding algorithm. However, for polar codes with short and moderate code lengths, the decoding performance of the SC algorithm is inferior. The cyclic-redundancy-check (CRC)-aided SC-list (SCL)-decoding algorithm has better error performance than the SC algorithm for short or moderate polar codes. In this paper, we propose an efficient list decoder architecture for the CRC-aided SCL algorithm, based on both algorithmic reformulations and architectural techniques. In particular, an area efficient message memory architecture is proposed to reduce the area of the proposed decoder architecture. An efficient path pruning unit suitable for large list size is also proposed. For a polar code of length 1024 and rate 1/2, when list size and 4, the proposed list decoder architecture is implemented under a Taiwan Semiconductor Manufacturing Company (TSMC) 90-nm CMOS technology. Compared with the list decoders in the literature, our decoder achieves 1.24–1.83 times the area efficiency.
机译:长极性码可以在低复杂度连续消除(SC)解码算法下实现任意二进制输入离散无记忆通道的对称容量。然而,对于具有短和中等码长的极性码,SC算法的解码性能较差。循环冗余校验(CRC)辅助的SC列表(SCL)解码算法比短或中等极性代码的SC算法具有更好的错误性能。在本文中,我们基于算法重构和体系结构技术,为CRC辅助SCL算法提出了一种有效的列表解码器体系结构。特别地,提出了一种区域有效的消息存储器架构,以减小所提出的解码器架构的面积。还提出了一种适用于大列表大小的有效路径修剪单元。对于长度为1024且比率为1/2(当列表大小为4时)的极性代码,建议的列表解码器体系结构是在台湾半导体制造公司(TSMC)的90 nm CMOS技术下实现的。与文献中的列表解码器相比,我们的解码器实现了面积效率的1.24–1.83倍。

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