利用最大偏差比的LDPC码识别算法

发布时间：2018-03-15 00:25

本文选题：信道编码分析　切入点：自适应编码调制　出处：《信号处理》2014年08期 　论文类型：期刊论文

【摘要】：随着自适应调制编码技术(AMC)和低密度奇偶校验码(LDPC)的广泛应用,AMC框架下的LDPC码识别技术已引起研究人员越来越多的关注。已有的识别算法存在识别性能不足的问题,为此,本文提出了一种AMC框架下基于最大偏差比的LDPC码识别算法。文章首先利用软判决接收序列定义了编码校验关系的对数似然比(PLLR),并对其模值的概率分布函数进行了分析;然后,利用不同校验矩阵下,校验关系对数似然比统计特性的差异,提出了一种可兼顾PLLR均值和方差特征的最大偏差比判决器。仿真结果表明,在AMC框架下,本文识别算法能够有效地完成对LDPC码的识别,且在低信噪比条件下仍能获得较好的识别结果,特别地,针对高码率LDPC码识别问题时,新算法性能优于已有算法。
[Abstract]:With the wide application of adaptive modulation coding (AMC) and low density parity check code (LDPC), the recognition technology of LDPC codes under the framework of AMC has attracted more and more attention. In this paper, a LDPC code recognition algorithm based on maximum deviation ratio under AMC framework is proposed. In this paper, the logarithmic likelihood ratio (LLR) of the coding check relation is defined by using the soft decision receiving sequence, and the probability distribution function of its modulus value is analyzed. Based on the difference of logarithmic likelihood ratio (LLR) statistical characteristics in different checkout matrices, a new maximum deviation ratio decider is proposed, which can take into account the features of PLLR mean and variance. The simulation results show that, under the AMC framework, In this paper, LDPC codes can be recognized effectively, and better results can be obtained under low signal-to-noise ratio (SNR). In particular, the performance of the new algorithm is superior to that of the existing algorithms for high bit-rate LDPC code recognition problems.
【作者单位】：解放军信息工程大学;
【基金】：国家自然科学基金(61072046)资助课题河南省自然科学基金(102300410008)资助课题
【分类号】：TN911.22

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