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

Haiqiang Chen, Yulin Li, Yaoling Wang, Chunjie Li, Youming Sun, Xiangcheng Li, Tuanfa Qin

Abstract: 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 $\sim $ 0.5 dB compared with the original D-SFDP algorithm. More interestingly, the presented algorithm also shows a much faster convergence speed.