An Adaptive Single/Multiple Symbol Flipping Decoding Algorithm for Non-Binary LDPC Codes

被引:0
|
作者
Chen, Haiqiang [1 ,2 ]
Li, Yulin [3 ]
Wang, Yaoling [3 ]
Li, Chunjie [3 ]
Sun, Youming [3 ]
Li, Xiangcheng [3 ]
Qin, Tuanfa [3 ]
机构
[1] Nanning Univ, Nanning 530004, Peoples R China
[2] Guangxi Univ, Key Lab Disaster Prevent & Struct Safety, Minist Educ, Nanning 530004, Peoples R China
[3] Guangxi Univ, Sch Comp Elect & Informat, Nanning 530004, Peoples R China
关键词
Symbols; Iterative decoding; Prediction algorithms; Reliability; Maximum likelihood decoding; Complexity theory; Sun; NB-LDPC codes; flipping strategy; iterative decoding; symbol flipping decoding; convergence speed;
D O I
10.1109/LCOMM.2022.3201236
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
This letter presents an adaptive single/multiple distance-symbol flipping decoding algorithm with prediction (ASMD-SFDP). Different from the D-SFDP, the presented algorithm consider both the global maximization and sec-maximization values of the reliability fluctuation quantity (RFQ). Flipping operation is performed only when the global maximization is greater than or equal to zero. Furthermore, a new flipping strategy is introduced based on the numerical gap between the global maximization and sec-maximization. The flipping operation is performed adaptively: 1) If the gap is greater than or equal to a designed threshold, only single symbol is flipped; 2) Otherwise, multiple symbols are flipped. Simulation results show that the presented algorithm can achieve a significant performance gain of 0.4 similar to 0.5 dB compared with the original D-SFDP algorithm. More interestingly, the presented algorithm also shows a much faster convergence speed.
引用
收藏
页码:773 / 777
页数:5
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