误码条件下的IRA码盲识别算法

发布时间：2018-04-21 12:06

  本文选题：盲识别 + 对偶向量　； 参考：《西安电子科技大学学报》2017年06期

【摘要】：针对误码条件下非规则重复累积码校验矩阵难以逆向重建以及大规模复杂交织难以恢复的问题,提出了一种基于对偶空间的校验矩阵与交织映射关系识别算法.通过秩准则法识别码长和同步起始点,利用矩阵变换的方法来获取对偶向量,由设定的决策门限从对偶向量中筛选出有效校验向量,并根据非规则重复累积码校验矩阵的稀疏特性,由有效校验向量稀疏化重建出校验矩阵.最后根据非规则重复累积码的编码结构特点识别出交织映射关系.仿真结果表明,该识别算法具有较低的计算复杂度,能够在误码条件下盲估计出编码参数,实现非协作场合的非规则重复累积码盲识别.
[Abstract]:Aiming at the problem that it is difficult to reconstruct irregularly repeated cumulant check matrix and to recover large scale complex interleaving under the condition of error code, an algorithm based on dual space is proposed to identify the relationship between check matrix and interleaved mapping. By using rank criterion method to identify the length of code and the starting point of synchronization, the dual vector is obtained by matrix transformation, and the effective check vector is screened out from the dual vector by the set decision threshold. According to the sparse characteristic of the irregular repeated cumulant code check matrix, the check matrix is reconstructed from the effective check vector sparsity. Finally, the interleaved mapping relationship is identified according to the coding structure of irregular repetitive cumulant codes. The simulation results show that the algorithm has lower computational complexity and can estimate the coding parameters blindly under the condition of error code.
【作者单位】： 西安电子科技大学通信工程学院;
【基金】：高等学校学科创新引智计划(“111”计划)资助项目(B08038)
【分类号】：TN911.22
，

本文编号：1782370