Title :
Crossover probability estimation using mean-intrinsic-LLR of LDPC syndrome
Author_Institution :
Coll. of Inf. Eng., Northwest A&F Univ., Yangling, China
Abstract :
This paper reveals that the residual redundancies in LDPC syndromes can be used to estimate the crossover probability between two correlated binary sequences. This work simplifies the algorithm proposed in. In addition, by using the mean of intrinsic Log-Likelihood Ratios (LLRs) of LDPC syndromes, this work also applies to irregular LDPC codes. The proposed algorithm performs well in simulations.
Keywords :
binary sequences; parity check codes; LDPC syndrome; correlated binary sequences; crossover probability estimation; intrinsic log-likelihood ratios; irregular LDPC code; mean-intrinsic-LLR; residual redundancies; Arithmetic; Binary sequences; Entropy coding; Feedback; Iterative decoding; Parameter estimation; Parity check codes; Random variables; Source coding; Turbo codes; Distributed source coding, Slepian-Wolf coding, LDPC syndrome, correlation estimation;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2009.091152
