Treffer: Crossover Probability Estimation Using Mean-Intrinsic-LLR of LDPC Syndrome

Title:
Crossover Probability Estimation Using Mean-Intrinsic-LLR of LDPC Syndrome
Authors:
Source:
IEEE communications letters. 13(9):679-681
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2009.
Publication Year:
2009
Physical Description:
print, 12 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
College of Information Engineering, Northwest A&F University, Shaanxi Yangling 712100, China
ISSN:
1089-7798
Rights:
Copyright 2009 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.22085943
Database:
PASCAL Archive

Weitere Informationen

This paper reveals that the residual redundancies in LDPC synaromes can be used to estimate the crossover probability between two correlated binary sequences. This work simplifies the algorithm proposed in [10]. 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.