Title
LDPC-Based Channel Coding of Correlated Sources With Iterative Joint Decoding
Publication Date
4-1-2006
Document Type
Article
Abstract
This letter considers low-density parity-check (LDPC) coding of correlated binary sources and a novel iterative joint channel decoding without communication of any side information. We demonstrate that depending on the extent of the source correlation, additional coding gains can be obtained. Two stages of iterative decoding are employed. During global iterations, updated estimates of the source correlation are obtained and passed on to the sum-product decoder that performs local iterations with a predefined stopping criterion and/or a maximum number of local decoding iterations. Simulation results indicate that very few global iterations (2-5) are sufficient to reap significant benefits from implicit knowledge of source correlation. Finally, we provide analytical performance bounds for our iterative joint decoder and comparisons with sample simulation results.
Publication Title
IEEE Transactions on Communications
Volume
54
Issue
4
First Page
577
Last Page
582
DOI
10.1109/TCOMM.2006.873062
Publisher Policy
pre-print, post-print
Recommended Citation
Laddomada, Massimiliano; Daneshgaran, F.; and Mondin, M., "LDPC-Based Channel Coding of Correlated Sources With Iterative Joint Decoding" (2006). School of Engineering and Technology Publications. 171.
https://digitalcommons.tacoma.uw.edu/tech_pub/171