【摘要】：低密度奇偶校驗(yàn)(LDPC,Low-Density Parity-Check)碼的剩余度置信度傳播(RBP,Residual Belief-Propagation)和基于行的剩余度置信度傳播(NWRBP,Node-Wise RBP)解碼算法的性能提升非常有限且計(jì)算復(fù)雜度較高.提出改進(jìn)的RBP(ERBP,Enhanced RBP)算法,在一個(gè)子迭代中,僅更新一個(gè)消息,然后設(shè)置被更新消息所在行的所有節(jié)點(diǎn)的剩余度值為0,使得ERBP解碼算法在每個(gè)子迭代中使用不同行的消息進(jìn)行計(jì)算,以加速迭代收斂.不同的LDPC碼用于對(duì)所提出的算法進(jìn)行性能仿真.仿真結(jié)果表明,與其他算法相比,ERBP算法降低了誤幀率(FER,Frame Error Ratio),并加快了迭代收斂速度.
[Abstract]:Residual confidence Propagation (RBP,Residual Belief-Propagation) and Row based residual confidence Propagation (NWRBP,) of low density parity check (LDPC,Low-Density Parity-Check) codes Node-Wise RBP) decoding algorithm has very limited performance improvement and high computational complexity. An improved RBP (ERBP,Enhanced RBP) algorithm is proposed, in which only one message is updated in a subiteration, and the residual value of all nodes in the row of the updated message is set to 0. The ERBP decoding algorithm is computed with different messages in each subiteration to accelerate the convergence of the iteration. Different LDPC codes are used to simulate the performance of the proposed algorithm. Simulation results show that compared with other algorithms, the ERBP algorithm reduces the frame error rate (FER,Frame Error Ratio),) and speeds up the iterative convergence.
【作者單位】： 北京航空航天大學(xué)電子信息工程學(xué)院;
【分類號(hào)】：TN911.22

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