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依据SCG-LDPC码的结构特点提出了一种高效的分层可靠置信传播(HRBP)译码算法,该算法结合分层迭代与可靠度判决测量有效降低后续迭代过程中的变量节点数,同时加快了收敛速度。针对适用于光传输系统的SCG-LDPC(3 969,3 720)码进行仿真,仿真结果表明HRBP算法与传统的BP算法相比,在保证性能的同时大大降低了运算量,在阈值为15时,HRBP译码算法误码率性能与BP译码算法相当,但是后续迭代的变量节点数在高信噪比下相比BP译码算法减少约69%,当阈值进一步增大时,HRBP算法将逐步退化为分层置信传播(Layered-BP)译码算法。
According to the structural characteristics of SCG-LDPC codes, an efficient layered confidence-based propagation (HRBP) decoding algorithm is proposed. This algorithm combines hierarchical iterative and reliability decision-making to effectively reduce the number of nodes in subsequent iterations and speed up The convergence speed. The SCG-LDPC (3 969, 3207) codes which are suitable for optical transmission system are simulated. The simulation results show that compared with the traditional BP algorithm, the HRBP algorithm can greatly reduce the computational complexity while maintaining the performance. When the threshold is 15 , The bit error rate performance of the HRBP decoding algorithm is comparable to that of the BP decoding algorithm, but the number of variable nodes for subsequent iterations reduces by about 69% compared with the BP decoding algorithm at high signal-to-noise ratios. When the threshold is further increased, the HRBP algorithm Gradually degenerated into Layered-BP decoding algorithm.