西安电子科技大学学报（自然科学版）2017，Vol.44Issue(6)：8-13,6.DOI:10.3969/j.issn.1001-2400.2017.06.002
误码条件下的IRA码盲识别算法
Blind recognition algorithm for IRA codes in noisy environment
摘要
Abstract
For noisy environment,the parity-check matrix of Irregular Repeat-Accumulate(IRA) codes is hard to reconstruct,moreover,the relationships of the large-scale complex interleaver are hard to recover. To solve the problems,a novel blind recognition algorithm is proposed.First,the code's length and synchronization are identified by applying rank criteria.Second,by implementing matrix transformation, the dual vectors of codewords are found.Then,by setting a threshold,the effective parity-check vectors of dual space are selected.According to the sparse characteristics of the IRA codes'parity-check matrix,the parity matrix can be reconstructed with effective parity-check vectors Finally, relationships of the interleaver can be recovered according to the characteristics of IRA codes.Simulation results show that the proposal can be used to estimate IRA codes encoding parameters and complete the blind recognition in the non-cooperative context with noise.关键词
盲识别/对偶向量/信道编码/非规则重复累积码Key words
blind recognition/dual vectors/channal coding/irregular repeat-accumulate codes分类
信息技术与安全科学引用本文复制引用
陈健,郭永斌,王艳涛,阔永红..误码条件下的IRA码盲识别算法[J].西安电子科技大学学报（自然科学版）,2017,44(6):8-13,6.基金项目
高等学校学科创新引智计划("111"计划)资助项目(B08038) （"111"计划）
