The parallel adaptive MAP-BP decoding algorithm for GLDPC codes is proposed,in which maximum a posteriori probability (MAP) decoding based on bit trellis is used for component codes while belief propagation (BP) based on log-likelihood ratio (LLR) is used for local codes.An adaptive correction factor is adopted to adjust the output of MAP and BP throughout the iteration process.Simulation results show that,compared with the traditional decoding method of GLDPC codes,MAP-BP algorithm improves decoding accuracy and gets a faster convergence speed.%提出了一种广义LDPC码的自适应全并行MAP-BP译码算法,算法中子码采用基于比特栅格的最大后验概率译码,本地码采用基于对数似然比的置信传播译码.算法引入自适应修正因子保证迭代过程中子码和本地码输出信息的匹配.仿真结果表明,与传统广义LDPC译码算法相比,MAP-BP算法可提高译码准确性并能加快译码收敛速度.
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