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arXiv 2006.12147cs.ITmath.IT
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NB QC-LDPC分组码的优化及其性能分析

Optimization of NB QC-LDPC Block Codes and Their Performance Analysis

Irina E. Bocharova, Boris D. Kudryashov, Evgenii P. Ovsyannikov, Vitaly Skachek, Tähvend Uustalu

摘要:

提出了一种非二进制准循环LDPC码的优化方法。该方法结合模拟退火构造基校验矩阵和标记所获得的基矩阵,旨在最大化NB LDPC码Tanner图的所谓广义围长。基于二进制Galois域的扩展,推导了有限长度的“几乎正则”NB LDPC码的集合的平均二进制谱的简化的随机编码界。给出了“几乎规则”NB QC-LDPC块码的和积BP解码的仿真FER性能,并与导出的有限长度随机编码界以及5G标准中优化的二进制QC-LDPC块码的相同性能进行了比较。在瀑布区,ML译码的有限长误差概率界与BP译码的仿真FER性能相差约0.1- 0.2dB。

英文摘要:

We propose an approach for optimizing nonbinary (NB) quasi-cyclic (QC) LDPC codes. This approach combines constructing of base parity-check matrices by simulated annealing and labeling the obtained base matrices aimed at maximizing the so-called generalized girth of the NB LDPC code Tanner graph. Tightened random coding bounds based on the average binary spectra for ensembles of "almost regular" NB LDPC codes of finite lengths over extensions of the binary Galois field are derived. The simulated FER performance of the sum-product BP decoding of "almost regular" NB QC-LDPC block codes are presented and compared with the derived finite-length random coding bounds as well as with the same performance of the optimized binary QC-LDPC block code in the 5G standard. In the waterfall region our finite-length bounds on the error probability of ML decoding are about 0.1--0.2 dB away from the simulated FER performance of BP decoding.

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