南京邮电大学学报（自然科学版）2011，Vol.31Issue(1)：35-38,4.
基于伴随式的OSD改进算法
Improved Syndrome-Based Ordered Statistic Decoding Algorithm
董自健 1酆广增2
作者信息
- 1. 南京邮电大学,通信与信息工程学院,江苏,南京,210003
- 2. 淮海工学院,电子工程学院,江苏,连云港,222005
- 折叠
摘要
Abstract
A syndrome-based ordered statistics decoding(SOSD) algorithm for LDPC codes is proposed based on ordered statistics decoding (OSD) algorithm and syndrome-based decoding algorithm. The indexed systematic form of parity check matrix is obtained based on the least rehable independent positions (LRIPs) by performing Gaussian eliminations,which leads to that candidate codes are generated in the SOSD processing by using several binary vector additions ,instead of using the re-encoding process, computation complexity in thereby reduced. A block accumulated log-likelihood ratio(LLR) strategy is further proposed to reconstruct the ordered information sequence, which can reduce the sensitivity of accumulated parameter selection to performance fluctuation.关键词
LDPC码/基于可靠度译码/分段累加似然比/基于伴随式的分阶统计译码Key words
low-density parity-check codes/ reliability-based decoding/ block accumulated log-likelihood ratio (LLR)/ syndrome-based ordered statistics decoding(SOSD)分类
信息技术与安全科学引用本文复制引用
董自健,酆广增..基于伴随式的OSD改进算法[J].南京邮电大学学报（自然科学版）,2011,31(1):35-38,4.
