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An Iterative Scheme for Lowering the Error-Floor of Low-Density Parity-Check Codes

机译:一种降低低密度奇偶校验代码误差楼的迭代方案

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This paper proposes a two-stage iterative decoding scheme named matrix transform belief propagation scheme (MT-BP) based on conventional belief propagation (BP) algorithm for low-density parity-check (LDPC) codes. By introducing information measurement, location vectors and parity check matrix transform, the proposed method can establish additional parity check equations and take more information bits of variable nodes into consideration compared with conventional BP algorithm. The simulations are performed on random regular LDPC codes and algebraic quasi-cyclic codes (QC-LDPC), the experimental results show MT-BP method can efficiently reduce the bit error rate (BER).
机译:本文提出了一种基于用于低密度奇偶校验(LDPC)代码的传统信念传播(BP)算法的名为矩阵变换信念传播方案(MT-BP)的两级迭代解码方案。通过引入信息测量,位置向量和奇偶校验矩阵变换,所提出的方法可以建立额外的奇偶校验方程,并考虑与传统的BP算法相比考虑更多信息位。仿真在随机常规LDPC码和代数准循环码(QC-LDPC)上执行,实验结果表明MT-BP方法可以有效地降低误码率(BER)。

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