摘要： 为降低低密度奇偶校验码(LDPC)译码器的复杂度，提出动态量化的LDPC译码器结构。针对传统并行结构，采用自适应动态量化算法、层调度策略以及最小和算法，在译码的同时调整信息量化方式，由此设计自适应估计电路，并统计幅值过大的信息比例。实验结果表明，该结构能以较小的性能损失降低LDPC译码器的复杂度。
关键词:
LDPC编码,
量化,
译码器,
层调度策略
Abstract: Self-adaptive dynamic quantization algorithm combined with level scheduling policy and min sum algorithm can decrease the hardware complexity of Low Density Parity Check Codes(LDPC) decoders with little performance degradation. To fill an omission of decoders using this algorithm, this paper proposed a new architecture of LDPC decoders. It is based on the traditional partial-parallel architecture, but can change the quantization scheme of decoding information. It also concludes circuits used to static the percentage of the value of information closing to saturation, which helps to adjust the quantization scheme of information in a self-adaptive way. Experimental results show that, this architecture can greatly reduce the hardware complexity of LDPC decoders with little performance degradation.
Key words:
Low Density Parity Check Codes(LDPC) coding,
quantization,
decoder,
level schedule policy
中图分类号:
沈旭, 梁伟, 李婉, 叶凡, 任俊彦. 动态量化的LDPC译码器结构[J]. 计算机工程, 2011, 37(21): 232-234,237.
CHEN Xu, LIANG Wei, LI Wan, XIE Fan, LIN Dun-Pan. LDPC Decoder Architecture with Dynamic Quantization[J]. Computer Engineering, 2011, 37(21): 232-234,237.