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...

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Veröffentlicht in:IEEE communications letters Jg. 20; H. 10; S. 2095 - 2098
Hauptverfasser: Aljohani, Abdullah, Babar, Zunaira, Soon Xin Ng, Hanzo, Lajos
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.10.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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
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Zusammenfassung: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.
Bibliographie: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