基于平均概率和停止准则的多元LDPC码加权符号翻转译码算法

发布时间：2018-03-21 12:19

本文选题：多元低密度奇偶校验码　切入点：加权符号翻转译码　出处：《通信学报》2016年02期 　论文类型：期刊论文

【摘要】：为了提高多元低密度奇偶校验(LDPC,low density parity-check)码符号翻转译码算法的性能并降低译码的复杂度,提出了基于平均概率和停止准则的多元LDPC码加权符号翻转译码(APSCWSF,average probability and stopping criterion weighted symbol flipping)算法。该算法将校验节点邻接符号节点的平均概率信息作为权重,使翻转函数更加有效,提高符号的翻转效率,进而改善译码性能。并且通过设置迭代停止准则进一步加快算法的收敛速度。仿真结果显示,在加性高斯白噪声信道下,误符号率为10-5时,相比WSF算法、NSCWSF算法(Osc=10)和NSCWSF算法(Osc=6),APSCWSF算法(Osc=10)分别获得约0.68 d B、0.83 d B和0.96 d B的增益。同时,APSCWSF算法(Osc=6)的平均迭代次数也分别降低78.60%~79.32%、74.89%~75.95%和67.20%~70.80%。
[Abstract]:In order to improve the performance and reduce the complexity of the symbol flip decoding algorithm for multivariate low density parity check (LDPC) low density parity-check (LDPC) codes, Based on the average probability and stop criterion, an algorithm of weighted symbol flipping decoding for multivariate LDPC codes is proposed. The algorithm takes the average probability information of the adjacent symbol nodes as the weight to make the flipping function more efficient. By setting the iterative stop criterion, the convergence speed of the algorithm is further accelerated. The simulation results show that, in the additive Gao Si white noise channel, the symbol error rate is 10-5. Compared with the WSF algorithm and the NSCWSF algorithm, the gain of 0.68 dB 0.83 dB and 0.96 dB were obtained, respectively. At the same time, the average number of iterations of the WSF algorithm was also reduced by 78.60 / 79.324.89 / 75.95% and 67.2070.80 respectively.
【作者单位】：杭州电子科技大学通信工程学院;东南大学移动通信国家重点实验室;
【基金】：浙江省自然科学基金资助项目(No.LY16F010013) 浙江省重点科技创新团队基金资助项目(No.2013TD03) 国家自然科学基金资助项目(No.61471152,No.61401130,No.61001133) 浙江省公益性技术应用研究计划基金资助项目(No.2015C31103) 东南大学移动通信国家重点实验室开放研究基金资助项目(No.2014D02)~~
【分类号】：TN911.22

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