基于减少过估计的改进LDPC码最小和译码算法

摘要

为了更好地在LDPC码的译码中使用最小和算法,尽量减少最小和算法译码过程中的性能损失,对最小和译码算法进行了深入研究,通过对最小和算法的原理分析得出,其性能损失的根源是算法过程中产生了过估计,而过估计的大小与最小值和次小值之间的差值相关,基于此,提出了一种减少过估计,以提高最小和算法性能的改进译码算法,通过仿真分析,该算法在几乎不增加复杂度的情况下获得了较好的译码性能.%In order to reduce the loss so that we can make full use of the min-sum algorithm in LDPC codes decoding , this paper deeply researches in the min-sum algorithm.The analysis of the min-sum algorithm's principle comes to that it is the o-ver-estimation which is related to the difference of the minimum value and the second minimum value that leads to the loss . Thus, this paper proposes a modified min-sum algorithm by reducing the over-estimation.Simulations show that this algorithm is better than the traditional MS algorithm without increasing complexity .