摘要： 针对低密度奇偶校验译码器吞吐量较低、存储资源消耗较多的问题，提出一种QC-LDPC码分层译码算法。利用接收信道模块初始化似然比信息，并结合存储校验信息和后验信息给出基于分层最小和的节点自更新译码算法，根据后验信息符号位对译码器进行判决。仿真结果表明，改进译码器资源消耗相对于传统译码器减少20%，当迭代次数为10时，吞吐量可达516.8 Mb/s。

关键词: 低存储量, 并行分层, 高吞吐量, 校验节点自更新算法, 译码器

Abstract: To address the low throughput and high storage resource consumption of the low density parity-check decoder,this paper proposes a layered decoding algorithm of QC-LDPC codes.The algorithm uses the receiving channel module to initialize the likelihood ratio information.Then the storage check information and posteriori information are combined to generate a node self-updating decoding algorithm based on the layered minimum sum.The decoder is judged based on the sign bit of posterior information.Simulation results show that the storage resources of the improved decoder are saved by 20% compared with the traditional decoder.When the number of iterations is 10,the throughput can reach 516.8 Mb/s.

Key words: low storage, parallel layered, high throughput, check nodes automatic update algorithm, decoder

中图分类号: 

• TP399