Distributed Source-Channel Coding Using Reduced-Complexity Syndrome-Based TTCM

In the context of distributed joint source-channel coding, we conceive reduced-complexity turbo trellis coded modulation (TTCM)-aided syndrome-based block decoding for estimating the cross-over probability pe of the binary symmetric channel, which models the correlation between a pair of sources. Ou...

Full description

Saved in:
Bibliographic Details
Published in:IEEE communications letters Vol. 20; no. 10; pp. 2095 - 2098
Main Authors: Aljohani, Abdullah, Babar, Zunaira, Soon Xin Ng, Hanzo, Lajos
Format: Journal Article
Language:English
Published: New York IEEE 01.10.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Complexity theory
Correlation
Decoding
Distributed joint source-channel coding
distributed source coding
Encoding
Fading channels
Modulation
Multiuser detection
Slepian-Wolf coding
syndrome decoding
turbo trellis coded modulation
ISSN:1089-7798, 1558-2558
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In the context of distributed joint source-channel coding, we conceive reduced-complexity turbo trellis coded modulation (TTCM)-aided syndrome-based block decoding for estimating the cross-over probability pe of the binary symmetric channel, which models the correlation between a pair of sources. Our joint decoder achieves an accurate correlation estimation for varying correlation coefficients at 3 dB lower SNR, than conventional TTCM decoder, despite its considerable complexity reduction.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2016.2584598