LDPC-based channel coding of correlated sources with iterative joint decoding

被引：31

作者：

Daneshgaran, F ^{[1
]}

Laddomada, M

Mondin, M

机构：

[1] Calif State Univ Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90032 USA

[2] Politecn Torino, Dipartimento Elettron, I-10129 Turin, Italy

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 2006年 / 54卷 / 04期

关键词：

correlated sources; iterative decoding; joint decoding; low-density parity-check (LDPC) codes; Slepian-Wolf; soft decoding;

D O I：

10.1109/TCOMM.2006.873062

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：577 / 582

页数：6

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