【摘要】 提出了一种基于比特可靠性的低密度奇偶校验(LDPC)码编码算法和一种加权置信传播(BP)译码算法。该编码算法首先利用蒙特卡罗仿真得到LDPC码各个比特节点的出错概率,然后用已知信息替换易出错比特节点进行编码;该译码算法根据比特节点可靠性的差异,在译码时为每个比特节点赋予相应的权值,以调整它们对译码的影响程度。仿真表明,新的编译码算法使得系统性能大大提高,同时加快了译码迭代收敛速度。更多还原

【Abstract】 Based on the reliability of bit nodes, the paper proposes a novel encoding structure and a weighted belief propagation (BP) decoding algorithm for low density parity check (LDPC) codes. The former uses the Monte Carlo (MC) simulation to estimate the error probability of each bit node, and then uses prior information to replace the unreliable bits in the parity -check matrix when encoding. The latter, according to each bit node’s error probability, gives each bit node a weight to adjust their contribution in the decoding process. The simulation results show that the proposed schemes can improve the coding performance remarkably, and can effectively decrease the iteration number which is needed for correctly decoding.更多还原